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2025-01-01 00:00:00
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JOUR
Kotari, S.S.; Konakanchi, B.K.; Salwaji, S.; Pasupuleti, M.K.; Kancherla, P.; Marrapodi, M.M.; Cicciù, M.; Minervini, G.
Newer Diagnostic Methods to Detect Oral Cancer and Their Applications in Prevention and Treatment Strategies: A Systematic Review
2025
Global Clinical Engineering Journal
7
2
37
48
10.31354/globalce.v7i2.293
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010281972&doi=10.31354%2fglobalce.v7i2.293&partnerID=40&md5=bcad89b0f8d538282be2637aebf5088a
Background: Oral cancer, which includes cancers of the lips, tongue, mouth, throat, and other oral tissues, is a serious health concern globally. It is one of the major causes of cancer-related mortality because of several factors, including the severity of certain oral malignancies and their late-stage detection. Obje...
Clinical applications; Diagnostic methods; Early detection; Noninvasive techniques; Oral cancer; Systematic review
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
1
1
JOUR
Heluey, N.
Ethical AI governance, trust and deepfake regulation in the UAE’s media landscape
2025
Journal of Digital Media and Policy
16
2
195
218
10.1386/jdmp_00173_1
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105007643289&doi=10.1386%2fjdmp_00173_1&partnerID=40&md5=53985da6d1dea5628b8868169dc7f996
This study examines the ethical governance and regulatory challenges of deepfake technologies within the context of rapid artificial intelligence (AI) advancements in the United Arab Emirates (UAE). It explores the role of trust in AI’s integration into digital media, critically assessing the UAE’s regulatory framework...
advertising accountability; AI ethics; AI policy frameworks; deceptive AI media; digital trust; media integrity; policy innovation; responsible AI
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
2
2
CHAP
Sanjeev, A.; Sharma, R.
Advancements and challenges in conversational AI: Navigating the frontiers of innovation and complexity
2025
The ChatGPT Revolution: How Conversational AI is Transforming Customer Service and Business Operations
null
null
105
128
10.1108/978-1-83549-852-120251006
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009453819&doi=10.1108%2f978-1-83549-852-120251006&partnerID=40&md5=dba7b071dd98bc51252ec3dd5d2b288c
Conversational Artificial Intelligence, a key branch of artificial intelligence (AI), focuses on creating text and speech-based bots that replicate and automate human interactions. This field is rapidly evolving, offering transformative potential for consumer engagement and procedural efficiency. This chapter delves in...
Conversational AI; Deep learning; Machine learning; Natural language processing (NLP); Privacy and security; Responsible AI; Artificial intelligence; Learning algorithms; Learning systems; 'current; Conversational artificial intelligence; Deep learning; Humaninteraction; Language processing; Machine-learning; Natural l...
Book chapter
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
3
3
JOUR
Mackenzie, I.S.; Brewer, L.C.; Zhavoronkov, A.
Clinical trials reimagined: Integrating community engagement and artificial intelligence
2025
Med
6
6
null
null
10.1016/j.medj.2025.100743
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105007657451&doi=10.1016%2fj.medj.2025.100743&partnerID=40&md5=71fa6b32cd0c92aa1224c32ba3967716
In celebration of Clinical Trials Day, May 20, this collection of Voices highlights visionary perspectives on the evolving landscape of clinical research. It explores decentralized clinical trials, which bring research into participants’ homes, enhancing diversity and convenience. It also emphasizes the imperative of c...
Artificial Intelligence; Clinical Trials as Topic; Community Participation; Humans; artificial intelligence; coronavirus disease 2019; drug development; health care personnel; health disparity; human; landscape; Note; socioeconomics; clinical trial (topic); community participation; procedures
Note
Scopus
Export Date: 28 July 2025; Cited By: 0
100743
null
4
4
CHAP
Kanmaz, U.
Cyber-resilient sustainable airports: Managing digital risks in green aviation initiatives
2025
Utilizing Cybersecurity to Foster Business Innovation and Resiliency
null
null
219
240
10.4018/979-8-3693-6417-8.ch010
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105008746530&doi=10.4018%2f979-8-3693-6417-8.ch010&partnerID=40&md5=6d3e80fadeaa6f79e12a80c9e08c555d
The convergence of digital transformation and sustainability in the aviation sector has led to the emergence of smart airport ecosystems that rely heavily on interconnected technologies to achieve environmental goals. While innovations such as IoT-enabled energy systems, AI-driven carbon monitoring, and digital twin si...
Airports; Carbon; Cybersecurity; Sustainable development; Aviation sector; Cyber security; Decarbonisation; Digital infrastructures; Digital transformation; Energy systems; Foundational elements; ISO 14001; ISO/IEC; Operational efficiencies; Environmental technology
Book chapter
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
5
5
JOUR
Molavi, H.; Zhang, L.; Khanbabaei, M.
Sustainable financial infrastructure and governance: A fuzzy multi-criteria decision-making analysis of open service innovation in unstable economies
2025
Sustainable Futures
9
null
null
null
10.1016/j.sftr.2025.100485
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217763999&doi=10.1016%2fj.sftr.2025.100485&partnerID=40&md5=f69181a141a37d06c1497aedb38fd93b
Open service innovation in the banking industry has led to sustainable competitive advantages for the economies of developed countries. This approach can also be advantageous for banks in developing countries grappling with unstable economic conditions, such as high inflation, economic sanctions, and low growth. Theref...
Banking industry; Data governance; Fuzzy; MCDM; Open innovation; Open service innovation; Policy; Sustainability; Sustainable Financial Infrastructure
Article
Scopus
Export Date: 28 July 2025; Cited By: 4
100485
null
6
6
JOUR
Al-Moteri, M.
Scenario-Based Forecasting of ChatGPT's Role as a Research Assistant in Nursing by 2030
2025
International Nursing Review
72
3
null
null
10.1111/inr.70055
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010544042&doi=10.1111%2finr.70055&partnerID=40&md5=3526f10e273e7da86d326deaff6590e3
Aim: To explore the future role of ChatGPT in nursing research by 2030 and provide a strategic framework for its responsible integration, addressing key opportunities and challenges. Background: Artificial intelligence (AI) tools, such as ChatGPT, offer significant potential to enhance productivity, foster innovation, ...
AI; ethical; guidelines; nursing; planning; research; scenario; Artificial Intelligence; Female; Forecasting; Generative Artificial Intelligence; Humans; Male; Nursing Research; Research Personnel; artificial intelligence; female; forecasting; generative artificial intelligence; human; male; nursing research; personnel
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
e70055
null
7
7
JOUR
Loeza-Mejía, C.-I.; Sánchez-DelaCruz, E.; José-Guzmán, I.-O.
Machine learning methodologies: history and challenges
2025
Evolutionary Intelligence
18
3
null
null
10.1007/s12065-025-01047-5
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005506187&doi=10.1007%2fs12065-025-01047-5&partnerID=40&md5=9168fc3634ef0e773a3f3a2803ea7251
The exponential and dynamic growth of data underscores the need to efficiently execute Machine Learning (ML) projects to maximize their utility. However, ML methodologies have not kept pace with the rapid advances in data collection technology and artificial intelligence (AI). Notably, many methodologies developed over...
Knowledge discovery; Machine learning; Method; Methodology; Industrial research; Agile environment; Data collection; Data environment; Dynamic growth; Exponential growth; Learning projects; Machine learning algorithms; Machine-learning; Method; Methodology; Sociology
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
58
null
8
8
JOUR
Naseem, S.; Rizwan, M.
The role of artificial intelligence in advancing food safety: A strategic path to zero contamination
2025
Food Control
175
null
null
null
10.1016/j.foodcont.2025.111292
https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000514618&doi=10.1016%2fj.foodcont.2025.111292&partnerID=40&md5=3f74c54444f4fb6859c49efa91d29039
Food safety is advancing toward zero contamination using artificial intelligence (AI) for supply chain management, quality control, contamination detection, and consumer safety. AI integrates with technologies like the Internet of Things (IoT), blockchain, and genomics to enhance traceability, predictive analytics, and...
Artificial intelligence; Food chain supply; Food safety; Predictive models; Zero contamination
Review
Scopus
Export Date: 28 July 2025; Cited By: 6
111292
null
9
9
CHAP
Runowski, H.; Kramarz, P.
The potential of using solutions based on generative artificial intelligence in agriculture in European union countries
2025
Building Trust in the Generative Artificial Intelligence Era: Technology Challenges and Innovations
null
null
166
180
10.4324/9781003586944-17
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010750747&doi=10.4324%2f9781003586944-17&partnerID=40&md5=61b7988e23daeeb487f3a13bca49c9da
This chapter aims to indicate what potential for implementing technologies based on generative artificial intelligence exists in agriculture in individual European Union countries, which differ, among others, in the level of socio-economic development, the state of factors determining the formation of a culture of trus...
Agricultural economics; Agriculture; Economic and social effects; Broadband Internet; Condition; EU countries; European Union countries; Global economies; Positive changes; Socio-economic development; Socio-economic factor; Strategic technologies; Technology-based; Competition
Book chapter
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
10
10
JOUR
Devlin, J.F.; Roy, S.K.; Sekhon, H.; Moin, S.M.A.; Sahiner, M.
Trust and FinTech: A review and research agenda
2025
Electronic Markets
35
1
null
null
10.1007/s12525-025-00803-w
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009977786&doi=10.1007%2fs12525-025-00803-w&partnerID=40&md5=002e90248a9367c038d3ca931b770ea7
The primary objective of this paper is to formulate a detailed research agenda focussed on trust in the context of FinTech. To achieve this objective, conceptualisations of trust and related constructs are reviewed, and a detailed model of trust is developed. The domain of FinTech is then introduced and is taken to inc...
AI; Big data; Dispositional Trust; FinTech; Institutional trust; Trust
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
62
null
11
11
CHAP
Kumari, P.; Swarnalatha, K.S.; Naveen, G.; Sale, A.; Prajwal, M.P.; Siddhardha, K.S.
Challenges and ethical considerations of AI in English as a foreign language
2025
Application of AI in the Teaching and Learning of English as a Foreign Language (EFL)
null
null
149
178
10.4018/979-8-3373-0969-9.ch005
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009785387&doi=10.4018%2f979-8-3373-0969-9.ch005&partnerID=40&md5=9268cee9085bec4c1e013a1360834c02
Artificial Intelligence (AI) which is transforming English as a Foreign Language (EFL) education, introducing innovative solutions that make learning more effective, engaging, and adaptable. These advancements have unlocked unprecedented opportunities for both students and teachers. However, these innovations come with...
Artificial intelligence; Ethical technology; Teaching; Contextual understanding; English-as-a-Foreign-Language; Ethical considerations; Human expertise; Human-machine; Innovative solutions; Language model; Machine efficiency; Privacy concerns; Teachers'; Data privacy
Book chapter
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
12
12
JOUR
Daoudi, M.
Ethical limits and suggestions for improving the use of AI in scientific research, academic publishing, and the peer review process, based on deontological and consequentialist viewpoints
2025
Discover Education
4
1
null
null
10.1007/s44217-025-00696-z
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010718582&doi=10.1007%2fs44217-025-00696-z&partnerID=40&md5=2480a560fd1656ea874e262904e03816
This study provides a comprehensive analysis of researchers' perspectives on AI integration across theoretical and practical research, academic publishing, and its future role, highlighting ethical considerations shaping its adoption. The methodology used a mixed approach, using a questionnaire distributed to researche...
Academic publishing; Artificial Intelligence; Ethical boundaries; Peer review; Scientific research
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
241
null
13
13
JOUR
Balakrishnan, P.; Anny Leema, A.; Jothiaruna, N.; Assudani, P.J.; Sankar, K.; Kulkarni, M.B.; Bhaiyya, M.
Artificial intelligence for food safety: From predictive models to real-world safeguards
2025
Trends in Food Science and Technology
163
null
null
null
10.1016/j.tifs.2025.105153
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105008976110&doi=10.1016%2fj.tifs.2025.105153&partnerID=40&md5=fa72e44f507175d7cec28a3f8941e5a6
Food safety is no longer just a lab issue; it's a real-world challenge that affects everyone from farmers and vendors to regulators and consumers. With rising concerns about adulteration, spoilage, and contamination in everyday items like milk, oils, fruits, and ready-to-eat meals, traditional testing methods often fal...
Artificial intelligence; Convolutional neural networks; Explainable AI; Federated learning; Food adulteration detection; Food safety; Machine learning; Non-invasive testing; Ready-to-eat foods; Real-time monitoring; Smart packaging; Spectroscopy; Spoilage detection; Convolutional neural networks; Food safety; Food secu...
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
105153
null
14
14
JOUR
Singh, S.; Karamcheti, B.
Robo-advisor enablers and inhibitors: A dual-factor framework and a benefit-risk model integration for understanding customer acceptance
2025
Sustainable Futures
9
null
null
null
10.1016/j.sftr.2025.100570
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105000876870&doi=10.1016%2fj.sftr.2025.100570&partnerID=40&md5=32d8b5a2dfbf5faf5e62626b013a69d1
In recent years, the rapid strides made by artificial intelligence (AI) in the financial services industry have not only reshaped its landscape but have also brought along disruptive innovations. Prominent among them are the robo-advisors (RAs), which have brought in catalytic changes in efficiency, scalability, and pe...
AI; Anthropomorphism; Awareness; Financial literacy; Interaction quality; Objection to use; Perceived benefit; Perceived risk; Robo-advisor; Trust; Willingness to use
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
100570
null
15
15
JOUR
Taddese, A.A.; Addis, A.C.; Tam, B.T.
Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applications
2025
Human Genomics
19
1
null
null
10.1186/s40246-025-00716-x
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219586879&doi=10.1186%2fs40246-025-00716-x&partnerID=40&md5=c8f373f1aba4423a613dfcdcef926362
Background: Researchers have increasingly adopted AI and next-generation sequencing (NGS), revolutionizing genomics and high-throughput screening (HTS), and transforming our understanding of cellular processes and disease mechanisms. However, these advancements generate vast datasets requiring effective data stewardshi...
Artificial intelligence; Data curation; Data stewardship; Genomics; Microscopy image analysis; Scoping review; Artificial Intelligence; Data Curation; Genomics; High-Throughput Nucleotide Sequencing; High-Throughput Screening Assays; Humans; Image Processing, Computer-Assisted; Microscopy; algorithm bias; Article; arti...
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
16
null
16
16
BOOK
Paliszkiewicz, J.; Gołuchowski, J.; Madra-Sawicka, M.; Chen, K.
Building trust in the generative artificial intelligence era: Technology challenges and innovations
2025
Building Trust in the Generative Artificial Intelligence Era: Technology Challenges and Innovations
null
null
1
274
10.4324/9781003586944
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010751166&doi=10.4324%2f9781003586944&partnerID=40&md5=a05341f7f6e45a75405b736f43bdbf79
In an era where generative artificial intelligence (AI) is reshaping industries and daily life, trust has become a cornerstone for its successful adoption and application. Building Trust in the Generative Artificial Intelligence Era: Technology Challenges and Innovations explores how trust can be built, maintained, and...
Agriculture; Ethical technology; Artificial intelligence technologies; Case-studies; Cyber security; Daily lives; Era technologies; Greenwashing; Student perceptions; Technology challenges; Technology innovation; University students; Artificial intelligence
Book
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
17
17
CHAP
Ishtaiwi, A.; Aldweesh, A.; Al-Qerem, A.; Alkasassbeh, M.
AI-powered smart contracts for energy grid optimization: A hybrid intelligence approach
2025
Blockchain Applications for the Energy and Utilities Industry
null
null
235
264
10.4018/979-8-3373-2439-5.ch011
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009678968&doi=10.4018%2f979-8-3373-2439-5.ch011&partnerID=40&md5=33de93e2669242fca990ec9310e9419f
Societies worldwide are reshaping their energy infrastructures to address evolving sustainability targets, economic requirements, and regulatory goals. In this chapter, I examine how artificial intelligence (AI) and blockchain-enabled smart contracts can unify in hybrid intelligence systems to optimize energy grids. Th...
Artificial intelligence; Optimization; Smart contract; Block-chain; Decision-making process; Economic requirements; Energy grids; Energy infrastructures; Grid optimization; Human expertise; Hybrid intelligence; Hybrid intelligence approaches; Intelligence systems; Decision making
Book chapter
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
18
18
JOUR
Liu, H.; Jafri, M.A.H.; Xu, S.; Shahzad, M.F.
The impact of artificial intelligence on consumers’ willingness to use CBDCs: evidence from the Chinese banking sector
2025
Humanities and Social Sciences Communications
12
1
null
null
10.1057/s41599-025-05067-5
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105008106724&doi=10.1057%2fs41599-025-05067-5&partnerID=40&md5=94fb140e7949ff11168e94442a934c01
Central Bank Digital Currencies (CBDCs) have gained significant attention as potential innovations in the global financial landscape. The incorporation of artificial intelligence (AI) in the financial sector has brought transformative changes, particularly in the adoption and usage of CBDCs. Therefore, this study explo...
null
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
834
null
19
19
CHAP
Maqousi, A.; Basu, K.
IoT security in smart cities: Balancing connectivity and resilience
2025
Complexities and Challenges for Securing Digital Assets and Infrastructure
null
null
95
113
10.4018/979-8-3373-1370-2.ch005
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105008365314&doi=10.4018%2f979-8-3373-1370-2.ch005&partnerID=40&md5=2afa4485ea234b087f4c4c309e00b64a
Smart cities rely heavily on Internet of Things (IoT) technologies to enhance energy distribution, transportation, healthcare, and public safety services. This pervasive connectivity, however, exposes critical infrastructures to a variety of sophisticated cyberattacks. Past incidents demonstrate how ransomware, distrib...
Smart city; Cyber-attacks; Distributed denial of service; Energy distributions; Essential services; Internet of things technologies; Pervasive connectivity; Public safety; Robust security; Safety services; Transportation safety; Internet of things
Book chapter
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
20
20
JOUR
Dhinakaran, D.; Edwin Raja, S.; Ramathilagam, A.; Vennila, G.; Alagulakshmi, A.
Ethical and legal challenges with IoT in home digital twins
2025
MethodsX
14
null
null
null
10.1016/j.mex.2025.103409
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105007414261&doi=10.1016%2fj.mex.2025.103409&partnerID=40&md5=6e5778fcb757eaf79e912607b41cc16c
Home Digital Twins represent a transformative application of IoT in the home environment, turning conventional living spaces into intelligent ecosystems. This paper explores the ethical and legal challenges associated with these technologies, focusing on critical issues such as privacy, data security, and accountabilit...
Cybersecurity; Data security; Home digital twins; Internet of Things; Privacy; Trust; algorithm bias; artificial intelligence; automation; best practice; computer security; data privacy; data processing; decision making; denial of service attack; digital twin; empowerment; energy conservation; energy cost; environmenta...
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
103409
null
21
21
CHAP
Jain, V.; Mitra, A.
Navigating environmental regulations in digital marketing: Ensuring compliance while promoting green claims
2025
Regulatory Frameworks and Digital Compliance in Green Marketing
null
null
125
164
10.4018/979-8-3693-9831-9.ch005
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105008362047&doi=10.4018%2f979-8-3693-9831-9.ch005&partnerID=40&md5=e903a9f987fb9d9ae7f60a846bf87d54
This study explores the challenges and opportunities businesses face in aligning digital marketing practices with stringent environmental regulations while promoting sustainability and maintaining credibility. Through a mixed-methods approach, the research examines compliance variability across industries, the correlat...
Electronic commerce; Environmental regulations; Investments; Marketing; Sustainable development; Block-chain; Communication strategy; Digital marketing; Emerging technologies; Mixed method; Policy makers; Resource Constraint; Small enterprise; Stringents; Support mechanism; Regulatory compliance
Book chapter
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
22
22
JOUR
Alshareet, O.; Awasthi, A.
A Novel Framework for Integrating Blockchain-Driven Federated Learning with Neural Networks in E-Commerce
2025
Journal of Network and Systems Management
33
3
null
null
10.1007/s10922-025-09928-x
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005657772&doi=10.1007%2fs10922-025-09928-x&partnerID=40&md5=e992aa66a4e8210939b754d64452c99a
Federated learning (FL) enables collaborative model training without raw data sharing; however, its decentralized architecture remains vulnerable to inference attacks, malicious updates, and opaque governance. To address these challenges, we introduce an end-to-end framework integrating FL with permissioned blockchain ...
Artificial intelligence (AI); Blockchain; Ethical collaboration; Federated learning (FL); Machine learning (ML); TRIZ; Electronic money; Ethical technology; Marketplaces; Privacy by design; Recurrent neural networks; Supervised learning; Artificial intelligence; Block-chain; Collaborative modeling; Ethical collaboratio...
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
56
null
23
23
JOUR
Hassan, R.; Acerbi, F.; Terzi, S.; Rosa, P.
Transitioning the silk industry towards circularity: A thematic analysis of sustainable value chain practices
2025
Sustainable Production and Consumption
56
null
94
111
10.1016/j.spc.2025.03.009
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105000693059&doi=10.1016%2fj.spc.2025.03.009&partnerID=40&md5=800ecf0bcfd60191eb618f8d596c7a29
The demand for natural fibers, including silk, is steadily rising, yet research on transitioning the silk industry from a traditional linear model to a circular economy still needs to grow. This study addresses this gap by outlining areas of interest to support silk companies in applying circular practices to achieve s...
Circular economy; SDG 12; Silk value chain; Sustainable practices; Silk; Sustainable development goals; Circular economy; Consumer education; Silk industry; Silk value chain; Sustainable development goal 12; Sustainable practices; Sustainable values; Technology advancement; Thematic analysis; Value chains; Circular eco...
Article
Scopus
Export Date: 28 July 2025; Cited By: 2
null
null
24
24
JOUR
East, S.-A.; Wang, Y.; Yanamala, N.; Maganti, K.; Sengupta, P.P.
Artificial Intelligence-Enabled Point-of-Care Echocardiography: Bringing Precision Imaging to the Bedside
2025
Current Atherosclerosis Reports
27
1
null
null
10.1007/s11883-025-01316-9
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010174013&doi=10.1007%2fs11883-025-01316-9&partnerID=40&md5=a3adbb59341a563decfb95fd16c00d35
Purpose of Review: The integration of artificial intelligence (AI) with point-of-care ultrasound (POCUS) is transforming cardiovascular diagnostics by enhancing image acquisition, interpretation, and workflow efficiency. These advancements hold promise in expanding access to cardiovascular imaging in resource-limited s...
Artificial intelligence; Deep learning; Generative AI; Point-of-care ultrasound; Artificial Intelligence; Cardiovascular Diseases; Echocardiography; Humans; Point-of-Care Systems; accuracy; algorithm; artificial intelligence; data privacy; deep learning; diagnosis; echocardiography; generative artificial intelligence; ...
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
70
null
25
25
JOUR
Kumar, S.; Sai, S.; Chamola, V.; Gaur, A.; Agarwal, C.; Huang, K.; Hussain, A.
Peeping into the Future: Understanding and Combating Generative AI-Based Fake News
2025
Cognitive Computation
17
3
null
null
10.1007/s12559-025-10457-7
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005485825&doi=10.1007%2fs12559-025-10457-7&partnerID=40&md5=7d637bd86e42065478c84b4a7bd487ca
The widespread dissemination of fake news in the digital age, accelerated by generative artificial intelligence (GAI), presents a significant challenge to the integrity of information in our interconnected world. This review paper comprehensively analyzes the critical concerns surrounding GAI-generated fake news, inclu...
DeepFakes; Detection; Fake news; Generative AI; Artificial intelligence systems; Deepfake; Detection; Digital age; Fake news; Generative AI; Language processing; Natural languages; Review papers; Societal impacts; Natural language processing systems
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
103
null
26
26
JOUR
Saidi, A.; Khouri, A.O.
Enhancing Data Privacy in Intrusion Detection: A Federated Learning Framework With Differential Privacy
2025
Concurrency and Computation: Practice and Experience
37
18-20
null
null
10.1002/cpe.70186
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010087960&doi=10.1002%2fcpe.70186&partnerID=40&md5=e8d5849a9e76fe4ff0e57ddb0b8ee2aa
The rise of cyber threats has underscored the critical need for robust intrusion detection systems (IDS). While traditional approaches, including statistical, knowledge-based, and AI-driven methods, have been pivotal, they often face limitations such as data privacy concerns, scalability challenges, and low detection a...
confidentiality; cybersecurity; deep learning; differential privacy; federated learning; intrusion detection systems; Computer architecture; Cybersecurity; Differential privacy; Distributed computer systems; Intrusion detection; Knowledge based systems; Learning systems; Network security; Privacy-preserving techniques;...
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
e70186
null
27
27
JOUR
Islam, S.; Rjoub, G.; Elmekki, H.; Bentahar, J.; Pedrycz, W.; Cohen, R.
Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques
2025
Artificial Intelligence Review
58
8
null
null
10.1007/s10462-025-11214-w
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105004266162&doi=10.1007%2fs10462-025-11214-w&partnerID=40&md5=39f0dac560e64289a97b6a32a890add4
This survey paper explores the transformative role of Machine Learning (ML) and Artificial Intelligence (AI) in Cardiopulmonary Resuscitation (CPR), marking a paradigm shift from conventional, manually driven resuscitation practices to intelligent, data-driven interventions. It examines the evolution of CPR through the...
Artificial intelligence (AI); Cardiac arrest; Cardiopulmonary resuscitation (CPR); Healthcare integration; Machine learning (ML); Reinforcement learning (RL); Backpropagation; Cardiac rhythm management; Noninvasive medical procedures; Resuscitation; Supervised learning; Artificial intelligence; Cardiac arrest; Cardiopu...
Article
Scopus
Export Date: 28 July 2025; Cited By: 1
233
null
28
28
JOUR
Chung, K.C.; Tan, P.J.B.
Artificial intelligence and internet of things to improve smart hospitality services
2025
Internet of Things (The Netherlands)
31
null
null
null
10.1016/j.iot.2025.101544
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85218881582&doi=10.1016%2fj.iot.2025.101544&partnerID=40&md5=81921064fc155f79b09bae4d9633f434
Advances in artificial intelligence (AI) and the Internet of Things (IoT) have significantly reshaped the hospitality sector by introducing intelligent operations and tailored services. This research explores how the AIoT-enabled service robots influence hotel employees’ psychological and operational dynamics. Specific...
Artificial intelligence internet of things; Cognitive trust; Perceived behavioral control; Technology familiarity
Article
Scopus
Export Date: 28 July 2025; Cited By: 1
101544
null
29
29
JOUR
Leite, H.
Artificial intelligence in higher education: Research notes from a longitudinal study
2025
Technological Forecasting and Social Change
215
null
null
null
10.1016/j.techfore.2025.124115
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105001377195&doi=10.1016%2fj.techfore.2025.124115&partnerID=40&md5=733ea626fcb3c3e0f6f301e1634a9670
Generative artificial intelligence (GenAI) has disrupted traditional educational approaches. Students are applying GenAI tools to access and create new content. However, the emergence of GenAI in higher education comes with caveats and academics and university administrators are learning to navigate this uncharted terr...
Generative artificial intelligence; Higher education; Innovation; Technology; Transformative service research; Artificial intelligence tools; Educational approach; Generative artificial intelligence; High educations; Higher education researches; Innovation; Longitudinal study; Service researches; Technology; Transforma...
Article
Scopus
Export Date: 28 July 2025; Cited By: 1
124115
null
30
30
CONF
Gueorguiev, T.
An approach to integrate Artificial Intelligence in ISO 9001-based quality management systems
2025
Measurement: Sensors
38
null
null
null
10.1016/j.measen.2024.101787
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214316761&doi=10.1016%2fj.measen.2024.101787&partnerID=40&md5=b411dd32bcaa808e206f852019d39028
The current state of ISO 9001-based quality management systems is intertwined with the updates of Annex SL, the United Nations' Sustainable Development Goals (UN SDGs), and more recently – the effect of climate action changes. In December 2023, ISO published the standard ISO/IEC 42001:2023 “Information Technology — Art...
Annex SL; Artificial intelligence management systems; Integrated management system; ISO 9001; ISO/IEC 42001; Quality management systems; Data quality; ISO Standards; Total quality management; 'current; Annex SL; Artificial intelligence management system; Integrated management systems; Intelligence management; ISO 9001;...
Conference paper
Scopus
Export Date: 28 July 2025; Cited By: 2
101787
null
31
31
JOUR
Jiang, W.; Li, D.; Liu, C.
Understanding dimensions of trust in AI through quantitative cognition: Implications for human-AI collaboration
2025
PLOS ONE
20
7 July
null
null
10.1371/journal.pone.0326558
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009793076&doi=10.1371%2fjournal.pone.0326558&partnerID=40&md5=1cf402f51ada17d1b783cd68d72af53e
Human-AI collaborative innovation relies on effective and clearly defined role allocation, yet empirical research in this area remains limited. To address this gap, we construct a cognitive taxonomy trust in AI framework to describe and explain its interactive mechanisms in human-AI collaboration, specifically its comp...
Artificial Intelligence; Cognition; Cooperative Behavior; Female; Humans; Male; Trust; algorithm; article; cognition; female; human; taxonomy; artificial intelligence; cooperation; male; psychology; trust
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
e0326558
null
32
32
JOUR
Luckyardi, S.; Fahrezi, M.; Soegoto, E.S.
ENHANCING TRUST IN DIGITAL FINANCE: BLOCKCHAIN AND AI FOR SECURE AND TRANSPARENT FINTECH SOLUTIONS
2025
Journal of Engineering Science and Technology
20
3
723
738
null
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105001500348&partnerID=40&md5=29313f3afa542df4778b55da8e1d7c8d
The rapid advancement of financial technology (FinTech) has brought significant innovations while raising concerns about security, transparency, and trust. This study explores how blockchain and artificial intelligence (AI) enhance trust in digital finance by strengthening security, improving fraud detection, and ensur...
Artificial intelligence (AI); Blockchain; Digital finance; Fraud detection; Regulatory compliance
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
33
33
JOUR
Basilio Ruiz de Apodaca, O.; Montes Gan, V.J.; Moreno-Brieva, F.
Non-hierarchic leadership collaboration: Exploring the adoption of AI-driven social networking for addressing social challenges in an extra-organizational environment
2025
Technology in Society
81
null
null
null
10.1016/j.techsoc.2024.102809
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215366230&doi=10.1016%2fj.techsoc.2024.102809&partnerID=40&md5=e081f576a071a2ac93af862b3ed7ecbd
The literature has explained how technology adoption and usage is affected by many socio-technical issues and how the emergence and evolution of networks is key for innovation. However, empirical analysis of interactions between leadership networks and new artificial intelligence-driven technologies is scarce. To shed ...
Artificial intelligence; Collective action; Community building; Non-hierarchical networks; Sentiment analysis; Socio-technical issues; Technology adoption; Collective action; Community buildings; Non-hierarchical networks; Organisational; Sentiment analysis; Social challenges; Social-networking; Socio-technical issues;...
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
102809
null
34
34
JOUR
Hacking, S.
Foundation models in pathology: Bridging AI innovation and clinical practice
2025
Journal of Clinical Pathology
78
7
433
435
10.1136/jcp-2024-209910
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005142960&doi=10.1136%2fjcp-2024-209910&partnerID=40&md5=d08c6fc3d076f10b4f6ac1d333f0cbf6
Foundation models are revolutionising pathology by leveraging large-scale, pretrained artificial intelligence (AI) systems to enhance diagnostics, automate workflows and expand applications. These models address computational challenges in gigapixel whole-slide images with architectures like GigaPath, enabling state-of...
Artificial Intelligence; Machine Learning; Neural Networks, Computer; Artificial Intelligence; Humans; Image Interpretation, Computer-Assisted; Pathology, Clinical; biological marker; artificial intelligence; artificial neural network; clinical decision making; clinical practice; confidentiality; diagnosis; explainable...
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
35
35
JOUR
Pham, T.
Ethical and legal considerations in healthcare AI: Innovation and policy for safe and fair use
2025
Royal Society Open Science
12
5
null
null
10.1098/rsos.241873
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005198685&doi=10.1098%2frsos.241873&partnerID=40&md5=a2bd7aae9e89c468b7627bc606e9b507
Artificial intelligence (AI) is transforming healthcare by enhancing diagnostics, personalizing medicine and improving surgical precision. However, its integration into healthcare systems raises significant ethical and legal challenges. This review explores key ethical principles - autonomy, beneficence, non-maleficenc...
artificial intelligence; ethics; healthcare; laws and regulations; policies
Review
Scopus
Export Date: 28 July 2025; Cited By: 2
241873
null
36
36
JOUR
Raman, R.; Kowalski, R.; Achuthan, K.; Iyer, A.; Nedungadi, P.
Navigating artificial general intelligence development: societal, technological, ethical, and brain-inspired pathways
2025
Scientific Reports
15
1
null
null
10.1038/s41598-025-92190-7
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105000043943&doi=10.1038%2fs41598-025-92190-7&partnerID=40&md5=e5d240fada6b76208edf64251965c233
This study examines the imperative to align artificial general intelligence (AGI) development with societal, technological, ethical, and brain-inspired pathways to ensure its responsible integration into human systems. Using the PRISMA framework and BERTopic modeling, it identifies five key pathways shaping AGI’s traje...
Artificial general intelligence; Brain inspired; Ethical AI; Ethics; Human-like AI; Responsible AI; Strong AI; Superintelligence; Topic modeling; Weak AI; Artificial Intelligence; Brain; Decision Making; Humans; article; artificial general intelligence; biological model; conceptual framework; consciousness; human; inte...
Article
Scopus
Export Date: 28 July 2025; Cited By: 7
8443
null
37
37
JOUR
Murrar, A.; Paz, V.; Batra, M.; Yerger, D.
Strategies for driving customer adoption of AI-powered mobile apps: insights from structural equation modeling in the water sector
2025
Journal of Systems and Information Technology
27
3
343
364
10.1108/JSIT-12-2023-0335
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216095159&doi=10.1108%2fJSIT-12-2023-0335&partnerID=40&md5=2ab92e6abf4bc7f72407c9df99ff8939
Purpose: Artificial intelligence (AI) in mobile apps is growing rapidly, with features such as image recognition, personalized notifications and prescriptive analytics becoming more common. One such app is the Equalizer AI-powered mobile app, which uses AI to process water invoices, advise customers on fair prices and ...
AI-powered mobile apps; Artificial intelligence; Customer trust; Perceived value; VAM model; Electronic money; Engineering education; Fees and charges; Adoption model; Artificial intelligence-powered mobile app; Customer trust; Mobile app; Perceived value; Structural equation models; Technology adoption models; Value-b...
Article
Scopus
Export Date: 28 July 2025; Cited By: 1
null
null
38
38
CHAP
Talukder, M.B.; Mia, M.N.; Masum, M.Y.; Kabir, F.; Kumar, S.
Encouraging innovative and responsible tourism through digital advancement
2025
Digital Disruption in Hospitality, Sustainable Hospitality: A Global Perspective on People, Planet, and Profit
null
null
143
166
10.1108/978-1-83662-360-120251007
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009757425&doi=10.1108%2f978-1-83662-360-120251007&partnerID=40&md5=0d1b402ae145a92e7450d82088cd3bf0
This chapter explores the intersection of technological advancements and sustainable tourism practices, focusing on how digital innovations, like blockchain, augmented reality (AR), and online advertising techniques, can promote environmentally friendly practices while enhancing tourist experiences. Through a comprehen...
Artificial intelligence; Innovative tourism; Responsible tourism; Sustainable tourism; Technological innovation; Virtual reality; Digital devices; Economic and social effects; Economics; Environmental technology; Ethical technology; Internet of things; Leisure industry; Sustainable development; Tourism; Block-chain; Di...
Book chapter
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
39
39
JOUR
Hu, L.; Chen, M.; Ding, N.
Factors influencing digital media designers’ subscription to premium versions of AI drawing tools through a mixed methods study
2025
Scientific Reports
15
1
null
null
10.1038/s41598-025-99924-7
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105004451203&doi=10.1038%2fs41598-025-99924-7&partnerID=40&md5=dc0a6f675c8e48dd212cb9473781c35e
With the continuous advancement of artificial intelligence (AI) technology—particularly the widespread adoption of generative AI—the application of AI tools in the design field has become increasingly prevalent, demonstrating considerable potential for innovation. However, existing research has primarily focused on the...
Advanced version of AI drawing tool; CB-SEM; Digital media designer; Subscription intention; Three-tier coding; article; artificial intelligence; cognition; decision making; digital media; drawing; electric potential; generative artificial intelligence; grounded theory; human; semi structured interview; structural equa...
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
15994
null
40
40
JOUR
Villarreal, J.A.; Suh, E.; Forrester, J.D.; Jopling, J.K.; Dumas, R.P.
Current State of Artificial Intelligence and Trauma Video Review: Insights for Trauma Resuscitation
2025
Current Trauma Reports
11
1
null
null
10.1007/s40719-025-00293-3
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105011182937&doi=10.1007%2fs40719-025-00293-3&partnerID=40&md5=73c3113b77d2a1cef0de3d4a86797a30
Purpose of Review: To examine the current state-of-the-art in artificial intelligence (AI) applications relevant to trauma resuscitation workflows. Recent Findings: AI is increasingly integrated into trauma care, supporting predictive modeling, team performance assessment, and real-time clinical decision-making. AI-enh...
Artificial intelligence; Surgical innovations; Trauma video review; algorithm; artificial intelligence; artificial intelligence software; bleeding; clinical decision making; clinician; cognitive load; computer vision; deep learning; human; leadership; neuromonitoring; patient triage; prediction; predictive model; resou...
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
16
null
41
41
JOUR
Manikandan, V.; Neethirajan, S.
AI-Powered Vocalization Analysis in Poultry: Systematic Review of Health, Behavior, and Welfare Monitoring
2025
Sensors
25
13
null
null
10.3390/s25134058
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010306733&doi=10.3390%2fs25134058&partnerID=40&md5=7924a32e4ab41a97f42bbe15bc8d8f73
Artificial intelligence and bioacoustics represent a paradigm shift in non-invasive poultry welfare monitoring through advanced vocalization analysis. This comprehensive systematic review critically examines the transformative evolution from traditional acoustic feature extraction—including Mel-Frequency Cepstral Coeff...
acoustic monitoring; animal welfare; bioacoustics classification; edge AI; poultry vocalization; TinyML; Acoustics; Animal Welfare; Animals; Artificial Intelligence; Behavior, Animal; Neural Networks, Computer; Poultry; Vocalization, Animal; Acoustics; Agriculture; Animals; Convolutional neural networks; Emotion Recogn...
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
4058
null
42
42
JOUR
Xia, L.; Lai, Z.; Khaskheli, M.B.
The Business Innovation of Consumer Choices and Challenges for Economic Sustainability Practices and Law
2025
Sustainability (Switzerland)
17
13
null
null
10.3390/su17135968
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010343953&doi=10.3390%2fsu17135968&partnerID=40&md5=a0b7cabd2bd44fb6cb45fcfbd5d8757e
The intersection of digitalization and innovation has emerged as the most vital strategy to spur economic development and shape consumer choice. The study examines sustainable development, digital economic governance, and sustainable consumption, emphasizing the role of consumer awareness, tariff policy, and managerial...
artificial intelligence; business management; consumer behavior; digital economy; digital transformation; law; sustainable business strategies; tariff; artificial intelligence; business; competitiveness; consumption behavior; economic development; innovation; literature review; stakeholder; Sustainable Development Goal...
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
5968
null
43
43
JOUR
Patil, A.; Mishra, B.; Chockalingam, S.; Misra, S.; Kvalvik, P.
Securing financial systems through data sovereignty: a systematic review of approaches and regulations
2025
International Journal of Information Security
24
4
null
null
10.1007/s10207-025-01074-4
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105008507802&doi=10.1007%2fs10207-025-01074-4&partnerID=40&md5=5ecb430f3624988f7c160283f3974446
The growing complexity of global financial systems, combined with the digital transformation driven by AI and decentralized technologies, has increased vulnerabilities in data security, privacy, and regulatory compliance. These challenges are particularly dire in the financial sector, where institutions must not only s...
Data sovereignty; Data stewardship; Digital economy; Finance; Laws; Multipolar monetary systems; Regulations; Regulatory risks; Security; Systematic literature review; Data privacy; Decentralized finance; Decentralized systems; Economics; Learning systems; Machine learning; Metadata; Regulatory compliance; Data soverei...
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
159
null
44
44
JOUR
Gangas, P.; Graf, N.; Wen, S.; Cattaneo, C.; Bicchieri, M.; Lennox-Chhugani, N.
Artificial intelligence in paediatric cancer: Insights from innovation experts in the UNICA4EU project
2025
EJC Paediatric Oncology
5
null
null
null
10.1016/j.ejcped.2024.100208
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211971630&doi=10.1016%2fj.ejcped.2024.100208&partnerID=40&md5=b21b863dbf00da41640c4a2485cf3d68
This article presents the results of interviews with AI development and innovation experts, focusing on the potential contribution of AI to paediatric cancer treatment, its barriers and facilitators. AI-based technologies are expanding in health care provision and potentially to paediatric oncology, particular imageolo...
Artificial intelligence; Barriers; Facilitators; Innovation experts’ interviews; Innovation roadmap; Paediatric cancer
Article
Scopus
Export Date: 28 July 2025; Cited By: 1
100208
null
45
45
JOUR
Abdulmuhsin, A.A.; Hussein, H.D.; AL-Abrrow, H.; Masa’deh, R.; Alkhwaldi, A.F.
Impact of artificial intelligence and knowledge management on proactive green innovation: the moderating role of trust and sustainability
2025
Asia-Pacific Journal of Business Administration
17
3
765
795
10.1108/APJBA-05-2024-0301
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210432288&doi=10.1108%2fAPJBA-05-2024-0301&partnerID=40&md5=260ae61549ba11b2f1aa434fd034a8e0
Purpose: In this research, we seek to understand the effects of artificial intelligence (AI) and knowledge management (KM) processes in enhancing proactive green innovation (PGI) within oil and gas organizations. It also aims to investigate the moderator role of trust and sustainability in these relationships. Design/m...
Artificial intelligence; Knowledge management processes; Proactive green innovation; Structural equation modelling; Sustainability; Trust
Article
Scopus
Export Date: 28 July 2025; Cited By: 12
null
null
46
46
JOUR
Lartey, D.; Law, K.M.Y.
Artificial intelligence adoption in urban planning governance: A systematic review of advancements in decision-making, and policy making
2025
Landscape and Urban Planning
258
null
null
null
10.1016/j.landurbplan.2025.105337
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85218857241&doi=10.1016%2fj.landurbplan.2025.105337&partnerID=40&md5=3a08033373c367285e18120004ff8831
Artificial Intelligence (AI) has been increasingly used in urban planning to tackle complex urban population growth and socioeconomic demands. AI data-driven methodologies have transformative potential for decision-making and policymaking in urban governance. However, a gap exists between AI's theoretical promises and ...
Artificial intelligence; Decision making; Machine learning; Policy making; Smart city; Urban governance; artificial intelligence; decision making; machine learning; policy making; smart city; urban planning; urban population
Review
Scopus
Export Date: 28 July 2025; Cited By: 2
105337
null
47
47
JOUR
Wu, M.; Tsai, N.E.; Koh, L.Y.; Yuen, K.F.
Maritime AI socialisation: Exploring the impact of digital enablers on human-AI collaboration and service and process innovation
2025
Transportation Research Part E: Logistics and Transportation Review
197
null
null
null
10.1016/j.tre.2025.104053
https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000537391&doi=10.1016%2fj.tre.2025.104053&partnerID=40&md5=0cfdf6b4f0500ad6444447088d837023
Despite the emerging consensus in the maritime field that AI could significantly enhance operational efficiency, safety, and sustainability, the industry has been slow to embrace AI due to employee resistance and the sector's inherent complexity. Thus, this study applies the “AI socialisation” process to analyse the sy...
AI socialisation; Digital enablers; Human-AI collaboration; Process innovation; Service innovation; AI socialization; Digital enabler; Employee resistance; Human-AI collaboration; Inherent complexity; Operational efficiencies; Operational safety; Operational sustainability; Process Innovation; Service innovation; artif...
Article
Scopus
Export Date: 28 July 2025; Cited By: 1
104053
null
48
48
JOUR
Shan, F.; Liu, L.; Li, L.; Wang, W.; Bi, Y.; Li, M.
Management, Safety, and Efficacy Evaluation of Nutraceutical and Functional Food: A Global Perspective
2025
Comprehensive Reviews in Food Science and Food Safety
24
4
null
null
10.1111/1541-4337.70222
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009632463&doi=10.1111%2f1541-4337.70222&partnerID=40&md5=4173b9068f68a731c076f4f18a16a1ac
Growing health consciousness and aging populations have driven surging demand for traditional and complementary medicines (T&CM), including nutraceuticals, functional foods, and food and medicinal substances (FAMS). Chronic disease burdens and preventive healthcare trends further amplify this growth. However, fragmente...
efficacy; global perspective; management; nutraceutical and functional food; safety; Consumer Product Safety; Dietary Supplements; Food Safety; Functional Food; Humans; Diseases; Food safety; Functional food; International trade; Laws and legislation; Public health; Risk assessment; Risk management; Aging population; C...
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
e70222
null
49
49
JOUR
Seyfi, S.; Lee, C.; Jo, Y.; Kim, M.J.
Generational differences in adopting AI-generated travel advice: What drives trust and reduces resistance?
2025
Tourism Management Perspectives
57
null
null
null
10.1016/j.tmp.2025.101364
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105002490755&doi=10.1016%2fj.tmp.2025.101364&partnerID=40&md5=c948eae46bfe3393f23fcd95e4566366
The adoption of Generative Artificial Intelligence (GAI) in tourism is expanding, yet significant generational differences remain in its acceptance for travel planning and decision-making. This study, drawing on the theoretical lens of innovation resistance and generation theory, examines how generational attitudes tow...
Generational differences; Generative artificial intelligence (GAI); Innovation resistance theory; Technology adoption; Tourism digitalization
Article
Scopus
Export Date: 28 July 2025; Cited By: 2
101364
null
50
50
JOUR
Tagbo, B.N.; Ejekam, C.S.; Oppong-Amoako, W.; Yameogo, T.M.; Mitiku, A.; Esangbedo, D.O.; Khuzwayo, N.; Mahlangu, G.; Badar, S.M.; Agbenu, E.A.; Adechina, R.M.; Nyarko, K.A.
Strengthening Vaccine Safety Systems, Research, and Regional Collaboration in Africa: A Call to Action
2025
Vaccines
13
6
null
null
10.3390/vaccines13060661
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009502506&doi=10.3390%2fvaccines13060661&partnerID=40&md5=7cee57eeaa4b271a7d93aef77a7d3d12
The 8th meeting of the African Advisory Committee on Vaccine Safety (AACVS), constituted in 2021, convened by the Vaccine Research and Innovation Unit within the Vaccine Preventable Diseases Program, WHO Regional Office for Africa, was held virtually from 14 to 16 April 2025. The meeting brought together independent va...
Africa; manufacturer accountability; new vaccine introduction; pharmacovigilance; regional collaboration; safety monitoring; vaccine research and development; vaccine safety; vaccine; Article; artificial intelligence; decision making; disease surveillance; electronic health record; human; immune response; immunization;...
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
661
null
51
51
JOUR
El-tahlawy, A.S.; Alawam, A.S.; Rudayn, H.A.; Allam, A.A.; Mahmoud, R.; El-Raheem, H.A.; Alahmad, W.
Advanced analytical and digital approaches for proactive detection of food fraud as an emerging contaminant threat
2025
Talanta Open
12
null
null
null
10.1016/j.talo.2025.100499
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105008139994&doi=10.1016%2fj.talo.2025.100499&partnerID=40&md5=90835c6b3fe0b56ca0d822600890c659
The integrity of the global food supply is increasingly compromised by sophisticated fraudulent methods such as adulteration, mislabeling, and substitution. These deceptive practices introduce undisclosed and harmful substances that often evade traditional detection, posing significant risks to public health and consum...
Advanced analytics; AI-driven detection; Blockchain traceability; Emerging contaminants; Food authentication
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
100499
null
52
52
BOOK
Zangana, H.M.; Omar, M.
Ensuring secure and ethical STM research in the AI era
2025
Ensuring Secure and Ethical STM Research in the AI Era
null
null
1
384
10.4018/979-8-3373-4252-8
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105008415727&doi=10.4018%2f979-8-3373-4252-8&partnerID=40&md5=a971740c750ed2ac797b3a9a8e03cb3c
As artificial intelligence (AI) is integrated into scientific, technical, and medical (STM) research, ensuring security and ethical standards becomes more critical. AI tools play a transformative role in data analysis and research methods, to peer reviews and publication, raising complex questions around data privacy, ...
Artificial intelligence; Automation; Cybersecurity; Data integrity; Data privacy; Ethical technology; Reviews; Artificial intelligence tools; Complex questions; Data analysis-methods; Ethical standards; Medical research; Peer review; Research method; Scientific researches; Security standards; Technical research; Comput...
Book
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
53
53
JOUR
Kumar, R.; Marla, K.; Sporn, K.; Paladugu, P.; Khanna, A.; Gowda, C.; Ngo, A.; Waisberg, E.; Jagadeesan, R.; Tavakkoli, A.
Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment
2025
Diagnostics
15
13
null
null
10.3390/diagnostics15131648
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010562363&doi=10.3390%2fdiagnostics15131648&partnerID=40&md5=53d8ac76d7aeefba7d4b78104f64b1e8
Musculoskeletal (MSK) disorders remain a major global cause of disability, with diagnostic complexity arising from their heterogeneous presentation and multifactorial pathophysiology. Recent advances across imaging modalities, molecular biomarkers, artificial intelligence applications, and point-of-care technologies ar...
artificial intelligence; biomarkers; clinical assessment; movement analysis; musculoskeletal imaging; point-of-care ultrasound; biochemical marker; biological marker; collagen; molecular marker; procollagen; telopeptide; artificial intelligence; artificial intelligence software; bone turnover; circadian rhythm; clinica...
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
1648
null
54
54
JOUR
Bodnari, A.; Travis, J.
Scaling enterprise AI in healthcare: the role of governance in risk mitigation frameworks
2025
npj Digital Medicine
8
1
null
null
10.1038/s41746-025-01700-4
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005179346&doi=10.1038%2fs41746-025-01700-4&partnerID=40&md5=e169c73c57b18da55e09ac76e573857d
This perspective article examines the role of governance frameworks in mitigating risks and building trust in AI implementations within healthcare organizations. As AI technologies rapidly evolve, robust governance is essential to manage potential adverse incidents and ensure fair, equitable, and effective innovation. ...
eHealth; AI Technologies; Healthcare organizations; Mitigating risk; Risk mitigation; Scalings; digital health; health care; health care organization; human; mitigation; review; Nutrition
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
272
null
55
55
JOUR
Liberty, J.T.; Bromage, S.; Peter, E.; Ihedioha, O.C.; Alsalman, F.B.; Odogwu, T.S.
Smart technology for public health: reshaping the future of food safety
2025
Food Control
176
null
null
null
10.1016/j.foodcont.2025.111378
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105003114489&doi=10.1016%2fj.foodcont.2025.111378&partnerID=40&md5=3c5b85e4d28282791604f1b689d8e621
The food consumed globally, a fundamental element of life, is under threat from the rising complexities of modern supply chains and global distribution networks. As these networks expand, so do the risks of contamination, quality degradation, and safety breaches, jeopardizing billions of lives and eroding trust in the ...
Artificial intelligence; Blockchain; Digital twins; Food safety; Internet of things; Smart technologies
Review
Scopus
Export Date: 28 July 2025; Cited By: 1
111378
null
56
56
JOUR
Nguyen, T.C.
AI as a solution for tackling the sustainable energy challenge in developing countries
2025
Energy for Sustainable Development
87
null
null
null
10.1016/j.esd.2025.101761
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005733949&doi=10.1016%2fj.esd.2025.101761&partnerID=40&md5=527fed1ae90e7c00ca7cd245912ff23e
Artificial Intelligence (AI) holds significant promise for advancing sustainable energy in developing countries by enhancing electricity demand forecasting and optimizing power grids to reduce energy losses. However, challenges such as inaccurate data during disruptions like natural disasters or cyberattacks necessitat...
AI implementation; AI technologies; Artificial Intelligence (AI); Developing countries; Sustainable energy
Note
Scopus
Export Date: 28 July 2025; Cited By: 0
101761
null
57
57
JOUR
Fessel, J.P.
INNOVATIONS AND PROVOCATIONS: With Sadness and Resolve: Why I Resigned as Chief Medical Officer of a National Institutes of Health Institute and What Comes Next
2025
Annals of the American Thoracic Society
22
7
970
972
10.1513/AnnalsATS.202503-366IP
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010199690&doi=10.1513%2fAnnalsATS.202503-366IP&partnerID=40&md5=c0f64d27b07d1c9d542d53eabe64a380
null
artificial intelligence; biomedicine; career; civil servant; data science; Food and Drug Administration; government; health workforce; home oxygen therapy; human; intensivist; journalism; leadership; medical intensive care unit; medical personnel; medical research; medical society; national health organization; Note; p...
Note
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
58
58
BOOK
Nair, A.J.; Manohar, S.; Mittal, A.; Patwa, N.
AI marketing and ethical considerations in consumer engagement
2025
AI Marketing and Ethical Considerations in Consumer Engagement
null
null
1
410
10.4018/979-8-3373-3476-9
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009579218&doi=10.4018%2f979-8-3373-3476-9&partnerID=40&md5=8cbbb44972a286587204ed861c58e01e
As artificial intelligence (AI) transforms the landscape of marketing, it brings both unprecedented opportunities and complex ethical challenges. AI-driven tools enable businesses to personalize consumer engagement at higher levels, offering tailored experiences that increase customer satisfaction and drive sales. Howe...
Artificial intelligence; Commerce; Computer privacy; Data privacy; Ethical technology; Business growth; Business marketing; Business owners; Consumer rights; Customers' satisfaction; Data usage; Ethical concerns; Ethical considerations; Ethical issues; Organizational process; Customer satisfaction
Book
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
59
59
JOUR
Hirunyatrakul, P.
Hybrid Intersection: Navigating Context and Constraint in AI for Social Good Among Thailand’s Smallholder Farmers
2025
Sustainability (Switzerland)
17
13
null
null
10.3390/su17135792
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010334677&doi=10.3390%2fsu17135792&partnerID=40&md5=8b6e6bcbe23689929cc5ceea47c54247
Artificial intelligence is increasingly deployed as a vehicle for “social good” in agriculture, ostensibly advancing the UN Sustainable Development Goals whilst uplifting smallholders. This study examines how such claims materialise through a selective case study analysis of eleven Thai Agricultural AI providers, analy...
Agricultural AI; Agriculture 4.0; AI for social good; AI governance; Global South; Thailand; Thailand; agricultural technology; artificial intelligence; governance approach; innovation; monetary policy; optimization; prioritization; smallholder; technological development
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
5792
null
60
60
CHAP
AlDhaen, F.S.
The significance of AI ethics and its implications for higher education: Systematic review
2025
Ethical Standards for Technological and Business Education Sustainability
null
null
67
84
10.1108/978-1-83608-036-720251005
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009394715&doi=10.1108%2f978-1-83608-036-720251005&partnerID=40&md5=1a9412b2671fe445a35bce083d2d6472
The application of Artificial Intelligence (AI) has grown over time, but ethical standards have not kept pace. Without a doubt, AI is changing a lot of fields and professions, such as informatics, business, communication, health and medicine. Additionally, it has greatly enhanced higher education. It is clear that Chat...
Artificial Intelligence (AI); Chatbot; ChatGPT; Ethical framework; Ethics; Higher education; Artificial intelligence; Economic and social effects; Education computing; Ethical technology; Medicine; Social aspects; Artificial intelligence; Business communications; Chatbots; ChatGPT; Ethical framework; Ethical standards;...
Book chapter
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
61
61
CONF
Xu, D.; Zhang, D.; Ruan, C.; Zheng, L.; Yang, B.; Yang, G.; Xu, S.; Wang, H.
Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys
2025
WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025
null
null
57
60
10.1145/3701716.3715871
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009240407&doi=10.1145%2f3701716.3715871&partnerID=40&md5=d7db5362ee765c69d7cd80accb2068bc
Over the past two years, generative AI (GenAI) has evolved rapidly, influencing interdisciplinary fields including social and e-commerce Recsys. Despite several exciting research advances, landing GenAI innovations in real-world Recsys remains challenging due to the sophistication of modern industrial product and syste...
Generative AI; Industrial System; Information Retrieval; Large Language Model; Recommender System; Artificial intelligence; Electronic commerce; Human computer interaction; Industrial research; E- commerces; Generative AI; Industrial product; Industrial systems; Interdisciplinary fields; Language model; Large language ...
Conference paper
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
62
62
JOUR
Jørgensen, B.N.; Gunasekaran, S.S.; Ma, Z.G.
Impact of EU Laws on AI Adoption in Smart Grids: A Review of Regulatory Barriers, Technological Challenges, and Stakeholder Benefits
2025
Energies
18
12
null
null
10.3390/en18123002
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105008942662&doi=10.3390%2fen18123002&partnerID=40&md5=a80696b07c1aaad622ba13ced9d3b54d
This scoping review examines the evolving landscape of European Union (EU) legislation, as it pertains to the implementation of artificial intelligence (AI) in smart grid systems. By outlining the current regulatory landscape, including the General Data Protection Regulation (GDPR), the EU Artificial Intelligence Act, ...
AI act; artificial intelligence (AI); cybersecurity; EU regulation; explainable AI (XAI); GDPR compliance; regulatory barriers; smart grids; stakeholder benefits; technological challenges; Cost reduction; Cybersecurity; Economic and social effects; Electric utilities; Energy policy; Energy resources; International law;...
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
3002
null
63
63
JOUR
Rossi, S.; Gemma, S.; Borghini, F.; Perini, M.; Butini, S.; Carullo, G.; Campiani, G.
Agri-food traceability today: Advancing innovation towards efficiency, sustainability, ethical sourcing, and safety in food supply chains
2025
Trends in Food Science and Technology
163
null
null
null
10.1016/j.tifs.2025.105154
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009292888&doi=10.1016%2fj.tifs.2025.105154&partnerID=40&md5=b9b042f9249ecf5e50fb7ecd23a55cb5
Background: The increasing globalization and complexity of agri-food supply chains have heightened the demand for transparency, safety, and traceability in food systems. The integrity, authenticity, and safety of food products are critical, and the implementation of specific and reliable protocols for tracing and track...
Agri-food supply chains; Agri-food traceability systems; AI and IoT; Bi-dimensional traceability taxonomy; Blockchain; OMIC techniques; Agri-food; Chains; Efficiency; Food safety; Food supply; Laws and legislation; Public health; Agri-food supply chains; Agri-food traceability system; AI and IoT; Bi-dimensional traceab...
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
105154
null
64
64
JOUR
Koukaras, C.; Koukaras, P.; Ioannidis, D.; Stavrinides, S.G.
AI-Driven Telecommunications for Smart Classrooms: Transforming Education Through Personalized Learning and Secure Networks
2025
Telecom
6
2
null
null
10.3390/telecom6020021
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009267177&doi=10.3390%2ftelecom6020021&partnerID=40&md5=d6e3e8cc0bc587014f14720865542fa7
Advances in telecommunications and artificial intelligence (AI) are reshaping modern educational spaces. Drawing upon diverse resources, this systematic literature review examines how these new advances including 5G, Internet of Things (IoT), and AI-based analytics can transform conventional classrooms into adaptive, s...
5G; artificial intelligence; education; Internet of Things; smart classrooms; telecommunications; Budget control; Computer aided instruction; E-learning; Internet of things; Learning systems; Network security; Regulatory compliance; Teaching; 5g; Educational spaces; Interactive Environments; Learning network; Personali...
Article
Scopus
Export Date: 28 July 2025; Cited By: 1
21
null
65
65
CHAP
Borowy, M.
Generative AI as a driver of trust in innovation
2025
Building Trust in the Generative Artificial Intelligence Era: Technology Challenges and Innovations
null
null
53
66
10.4324/9781003586944-6
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010749047&doi=10.4324%2f9781003586944-6&partnerID=40&md5=589a4fb6a94d8feb359b7eb1a8e98015
This study explores the role of generative artificial intelligence (GEN AI) in fostering trust in innovation, with a focus on economic decision-making in businesses. The research highlights how GEN AI boosts productivity, reduces costs, and drives new business models by analyzing investment trends, adoption rates, and ...
Artificial intelligence; Decision making; Economics; Investments; Economic decision-making; Economic growths; New business models; Reduce costs; Technological development; Industrial research
Book chapter
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
66
66
JOUR
Lin, X.; Wang, T.; Sheng, F.
Exploring the dual effect of trust in GAI on employees’ exploitative and exploratory innovation
2025
Humanities and Social Sciences Communications
12
1
null
null
10.1057/s41599-025-04956-z
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005088681&doi=10.1057%2fs41599-025-04956-z&partnerID=40&md5=3b8f5dbec23c6747b8e88026c30bc982
The deployment of generative artificial intelligence (GAI) has attracted substantial research attention, yet its impact on employee innovation remains debated. Based on Technology-Task Fit (TTF) theory, this study investigates how trust in GAI affects employees’ exploitative and exploratory innovation. Analysis of surv...
null
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
663
null
67
67
JOUR
Rozenblit, L.; Price, A.; Solomonides, A.; Joseph, A.L.; Koski, E.; Srivastava, G.; Labkoff, S.; Bray, D.; Lopez-Gonzalez, M.; Singh, R.; deBronkart, D.; Barr, P.J.; Szolovits, P.; Dattani, K.; Jaffe, C.; Fridsma, D.; Baris, R.; Leftwich, R.; Stolper, R.; Weiner, M.G.; Pastor, N.; Luque, U.S.; Lin, B.; Thuy Bui, T.T.; ...
Toward responsible AI governance: Balancing multi-stakeholder perspectives on AI in healthcare
2025
International Journal of Medical Informatics
203
null
null
null
10.1016/j.ijmedinf.2025.106015
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010688923&doi=10.1016%2fj.ijmedinf.2025.106015&partnerID=40&md5=02d450907da4e688bf9c7ce9ebcdfb15
Introduction: The rapid integration of artificial intelligence (AI) into healthcare presents significant governance challenges, requiring balanced approaches that safeguard safety, efficacy, equity, and trust (SEET). This study proposes a cognitive framework to guide AI governance, addressing tradeoffs between speed, s...
AI governance; CDCS; Clinical decision support; Consumer Health; CoProduction; Cosumer Involvement; Generative AI; Healthcare ethics; Large Language Models; Multi-stakeholder framework; PPI; Public and Patient Involvement; Real World Research; Responsible innovation; RWE; Artificial intelligence; Engineering research; ...
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
106015
null
68
68
BOOK
Sinha, M.; Bhandari, A.; Priya, S.S.; Kabiraj, S.
Marketing intelligence, part B: AI, trust, and innovation in the modern business landscape
2025
Marketing Intelligence, Part B: AI, Trust, and Innovation in the Modern Business Landscape
null
null
1
337
10.1108/9781836625605
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105006616845&doi=10.1108%2f9781836625605&partnerID=40&md5=2357fae0c647cc23242f2adcd59d3d7a
Digitalization has completely transformed marketing. It has changed consumption habits, consumer behaviour, and purchasing processes. This work provides the most up-to-date research on the challenges connected with the expanding ground of digitalization and marketing. © 2025 Mudita Sinha, Arabinda Bhandari, Samant Shan...
Consumption habit; Marketing intelligences; Market Research
Book
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
69
69
CHAP
Utzig, M.; Mikuła, A.; Hvastová, J.; Freňáková, M.
Challenges of trust in remote work in the era of generative AI
2025
Building Trust in the Generative Artificial Intelligence Era: Technology Challenges and Innovations
null
null
43
52
10.4324/9781003586944-5
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010751483&doi=10.4324%2f9781003586944-5&partnerID=40&md5=518d84270ef2133b1ecb44f3930a52f8
Remote work is becoming more widely used in enterprises thanks to innovations in information and computer-mediated communication technologies. Furthermore, forms of out-of-office work forced by the COVID-19 pandemic became permanently used in enterprises. On the other hand, generative AI influences the current and futu...
Employment; Personnel; 'current; Communicationtechnology; Computer-mediated communication; Direct control; Dynamic development; Labour market; Literature reviews; Office works; Online questionnaire; Questionnaire surveys; Artificial intelligence
Book chapter
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
70
70
JOUR
Brandusescu, A.; Sieber, R.E.
Missed opportunities in AI regulation: lessons from Canada's AI and data act
2025
Data and Policy
7
null
null
null
10.1017/dap.2025.17
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005637506&doi=10.1017%2fdap.2025.17&partnerID=40&md5=20d2e66ad83d2da851052c2484228526
We interrogate efforts to legislate artificial intelligence (AI) through Canada's Artificial Intelligence and Data Act (AIDA) and argue it represents a series of missed opportunities that so delayed the Act that it died. We note how much of this bill was explicitly tied to economic development and implicitly tied to a ...
artificial intelligence; government; intellectual property; labour; shared prosperity
Review
Scopus
Export Date: 28 July 2025; Cited By: 0
e40
null
71
71
JOUR
Chakrabarti, M.; Fabozzi, F.J.; Narain, A.; Sood, A.
Ethical AI in Asset Management: Frameworks for Transparency, Compliance, and Trust
2025
Journal of Financial Data Science
7
1
18
35
10.3905/jfds.2025.7.1.018
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217831038&doi=10.3905%2fjfds.2025.7.1.018&partnerID=40&md5=0f65842c78627b5bdc0ac1473074bd4a
This article explores the ethical challenges and considerations of integrating artificial intelligence (AI) and machine learning (ML) in asset management. As AI-driven models become more prevalent in portfolio management, risk assessment, and customer analytics, the demand for transparency, fairness, and accountability...
null
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
null
null
72
72
JOUR
Feng, C.; Jumaah Al-Nussairi, A.K.; Chyad, M.H.; Sawaran Singh, N.S.; Yu, J.; Farhadi, A.
AI powered blockchain framework for predictive temperature control in smart homes using wireless sensor networks and time shifted analysis
2025
Scientific Reports
15
1
null
null
10.1038/s41598-025-03146-w
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105006463047&doi=10.1038%2fs41598-025-03146-w&partnerID=40&md5=7a6ab21bc5e0aab833e9232d7397819f
In the context of smart homes, efficiently managing temperature control while optimizing energy consumption and ensuring data security remains a significant challenge. Traditional thermostat-based systems lack predictive capabilities, and energy consumption often spikes during peak hours, leading to inefficiency. Addit...
AI-Powered temperature control; Blockchain; Smart homes; Time-Shifted data processing; Wireless sensor networks; algorithm; article; blockchain; control system; cooling; data processing; energy consumption; fatigue; heating; home environment; human; information security; machine learning; reliability; smart home; tempe...
Article
Scopus
Export Date: 28 July 2025; Cited By: 0
18168
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