yusuke1997/dblp-id-title huggingface dataset:
A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform
Author Correction: eHealth tools for the self-testing of visual acuity: a scoping review
Preserving information while respecting privacy through an information theoretic framework for synthetic health data generation
A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients
Can social media encourage diabetes self-screenings? A randomized controlled trial with Indonesian Facebook users
Effectiveness of artificial intelligence screening in preventing vision loss from diabetes: a policy model
Evidence from ClinicalTrials.gov on the growth of Digital Health Technologies in neurology trials
Smartphone accelerometer data as a proxy for clinical data in modeling of bipolar disorder symptom trajectory
Publisher Correction: Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare
Performance evaluation of a prescription medication image classification model: an observational cohort
Artificial intelligence for the diagnosis of heart failure
A novel sweat sensor detects inflammatory differential rhythmicity patterns in inpatients and outpatients with cirrhosis
Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis
Privacy-first health research with federated learning
Synthetic electronic health records generated with variational graph autoencoders
Accelerating clinical evidence synthesis with large language models
Adaptive spatiotemporal encoding network for cognitive assessment using resting state EEG
Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery
Homeostasis as a proportional-integral control system
Integrating artificial intelligence into healthcare systems: more than just the algorithm
Pandemic-proof recruitment and engagement in a fully decentralized trial in atrial fibrillation patients (DeTAP)
Augmented reality versus standard tests to assess cognition and function in early Alzheimer's disease
Wearable fNIRS platform for dense sampling and precision functional neuroimaging
An MRI radiomics approach using invasion-based weak supervision for identifying and evaluating aggressive PitNETs
Author Correction: Enhancing attention in children using an integrated cognitive-physical videogame: A pilot study
Author Correction: Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts
An optimal antibiotic selection framework for Sepsis patients using Artificial Intelligence
Leveraging retinal vascular features in non-invasive, early diagnosis of preeclampsia
A systems approach towards remote health-monitoring in older adults: Introducing a zero-interaction digital exhaust
Simulating A/B testing versus SMART designs for LLM-driven patient engagement to close preventive care gaps
Accessing AI mammography reports impacts patient follow-up behaviors: the unintended consequences of including AI in patient portals
The digital scribe in clinical practice: a scoping review and research agenda
The Bionic Radiologist: avoiding blurry pictures and providing greater insights
Clinical assessment and interpretation of dysarthria in ALS using attention based deep learning AI models
Identification of digital twins to guide interpretable AI for diagnosis and prognosis in heart failure
Learning endometriosis phenotypes from patient-generated data
An umbrella review of efficacy of digital health interventions for workers
Transforming healthcare through just, equitable and quality driven artificial intelligence solutions in South Asia
Vaccine advertising: preach to the converted or to the unaware?
Enhancing biomarker based oncology trial matching using large language models
Personalised modelling of routine variability and affective states
Training for our digital future: a human-centered design approach to graduate medical education for aspiring clinician-innovators
The emerging clinical role of wearables: factors for successful implementation in healthcare
Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation
An attempt to evaluate the use of mixed reality in surgically treated pediatric oncology patients
A care team-based classification and population management schema for connected diabetes care
Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study
A retrospective study on machine learning-assisted stroke recognition for medical helpline calls
Artificial intelligence and machine learning in clinical development: a translational perspective
Systematic review of deep learning image analyses for the diagnosis and monitoring of skin disease
Automated human-level diagnosis of dysgraphia using a consumer tablet
Sounds of COVID-19: exploring realistic performance of audio-based digital testing
Complex modeling with detailed temporal predictors does not improve health records-based suicide risk prediction
Enabling Web-scale data integration in biomedicine through Linked Open Data
Prediction of stress and drug craving ninety minutes in the future with passively collected GPS data
Vision-language model for report generation and outcome prediction in CT pulmonary angiogram
Patient-specific COVID-19 resource utilization prediction using fusion AI model
Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning
Channel management in virtual care
Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality
When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior
Wearable sensor derived decompensation index for continuous remote monitoring of COVID-19 diagnosed patients
Chatbots in the fight against the COVID-19 pandemic
The performance of serious games for enhancing attention in cognitively impaired older adults
Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies
Do we need AI guardians to protect us from health information overload?
Learning as a missing component of digital health, environment and climate change
Association of sleep patterns assessed by a smartphone application with work productivity loss among Japanese employees
Author Correction: Reopening businesses and risk of COVID-19 transmission
Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI
Machine learning explains response variability of deep brain stimulation on Parkinson's disease quality of life
MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens
Expert of Experts Verification and Alignment (EVAL) Framework for Large Language Models Safety in Gastroenterology
A novel digital approach to describe real world outcomes among patients with constipation
GPS mobility as a digital biomarker of negative symptoms in schizophrenia: a case control study
How can we better use Twitter to find a person who got lost due to dementia?
Large language model integrations in cancer decision-making: a systematic review and meta-analysis
Benefits of virtual reality rehabilitation on neurodegenerative diseases: a systematic review
Public evidence on AI products for digital pathology
A large language model-based approach to quantifying the effects of social determinants in liver transplant decisions
Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation
Regulatory considerations for successful implementation of digital endpoints in clinical trials for drug development
Synthetic data distillation enables the extraction of clinical information at scale
Digital measures of activity and motivation impact depression and anxiety in the real world
Author Correction: The reproducibility crisis in the age of digital medicine
Optimizing large language models for detecting symptoms of depression/anxiety in chronic diseases patient communications
Citizen data sovereignty is key to wearables and wellness data reuse for the common good
Impact of human and artificial intelligence collaboration on workload reduction in medical image interpretation
Multimodal machine learning enables AI chatbot to diagnose ophthalmic diseases and provide high-quality medical responses
Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction
Digital pathways connecting social and biological factors to health outcomes and equity
Anatomically-guided Masked Autoencoder with Domain-Adaptive Prompting (AMAP) for multimodal cerebral aneurysm detection and segmentation
Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data
How AI is used in FDA-authorized medical devices: a taxonomy across 1,016 authorizations
Developing and adopting safe and effective digital biomarkers to improve patient outcomes
Author Correction: A randomised controlled feasibility trial of E-health application supported care vs usual care after exacerbation of COPD: the RESCUE trial
Algorithmovigilance, lessons from pharmacovigilance
A value-based deep reinforcement learning model with human expertise in optimal treatment of sepsis
Improving medical machine learning models with generative balancing for equity and excellence
Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring
The reproducibility crisis in the age of digital medicine
Pulse oximetry values from 33,080 participants in the Apple Heart & Movement Study
Remote diagnosis of surgical-site infection using a mobile digital intervention: a randomised controlled trial in emergency surgery patients
A systematic review of the impacts of remote patient monitoring (RPM) interventions on safety, adherence, quality-of-life and cost-related outcomes
Evaluation of biases in remote photoplethysmography methods
Inclusive innovation in telehealth
Developing machine learning algorithms for dynamic estimation of progression during active surveillance for prostate cancer
Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms
Fostering inclusive co-creation in digital health
Comparison of SHAP and clinician friendly explanations reveals effects on clinical decision behaviour
Digital twins and Big AI: the future of truly individualised healthcare
An Automated Classifier of Harmful Brain Activities for Clinical Usage Based on a Vision-Inspired Pre-trained Framework
Eliminating biasing signals in lung cancer images for prognosis predictions with deep learning
Approved trends and product characteristics of digital therapeutics in four countries
Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiological interpretation, and clinical use
The path forward for large language models in medicine is open
Can artificial intelligence improve medicine's uncomfortable relationship with Maths?
Evaluation of the digital genetic assistant in technology assisted genetic counseling for genetic carrier screening
Do you understand the words that are comin outta my mouth? Voice assistant comprehension of medication names
Implementing large language models in healthcare while balancing control, collaboration, costs and security
Weakly supervised language models for automated extraction of critical findings from radiology reports
Development of digital biomarkers for resting tremor and bradykinesia using a wrist-worn wearable device
Artificial intelligence for precision medicine in neurodevelopmental disorders
A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases
Development and evaluation of a machine learning model predicting out-of-hospital cardiac arrest using environmental factors
Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction
Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform
A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis
Estimating the household secondary attack rate and serial interval of COVID-19 using social media
Redefining the research hospital
Don't quote me: reverse identification of research participants in social media studies
The structure-preserving spectral graph neural network for dual kinase inhibitors and synergy scoring in gastric cancer
Clinical use of artificial intelligence in endometriosis: a scoping review
Protecting patient privacy in tabular synthetic health data: a regulatory perspective
Returning to work in the digital age: why smartphone interventions must go further
Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine
The new platforms of health care
Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIR
Computational drug repurposing based on electronic health records: a scoping review
Facial expressions can detect Parkinson's disease: preliminary evidence from videos collected online
Enabling secure and self determined health data sharing and consent management
Advancing perioperative care with digital applications and wearables
Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions
PathOrchestra: a comprehensive foundation model for computational pathology with over 100 diverse clinical-grade tasks
Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women
A practical framework for appropriate implementation and review of artificial intelligence (FAIR-AI) in healthcare
Identifying unreliable predictions in clinical risk models
Mining the contribution of intensive care clinical course to outcome after traumatic brain injury
A deep learning based smartphone application for early detection of nasopharyngeal carcinoma using endoscopic images
Digital medicine and the curse of dimensionality
Backslide or forward progress? Virtual care at U.S. healthcare systems beyond the COVID-19 pandemic
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging
Personalized predictions of patient outcomes during and after hospitalization using artificial intelligence
An artificial intelligence system for qualified mucosal observation time during colonoscopic withdrawal
Adherence to digital pregnancy care - lessons learned from the SMART start feasibility study
Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder
Predicting outcomes following endovascular aortoiliac revascularization using machine learning
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening
Policy and reimbursement strategies to improve patient access to prescription digital therapeutics
How machine learning on real world clinical data improves adverse event recording for endoscopy
Autoencoders for sample size estimation for fully connected neural network classifiers
A simulation based digital twin approach to assessing the organization of response to emergency calls
Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare
DeepBreath - automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries
Benchmarking large language models for personalized, biomarker-based health intervention recommendations
Evidential deep learning-based ALK-expression screening using H&E-stained histopathological images
Simulating mismatch between calibration and target population in AI for mammography the retrospective VAIB study
Exergaming and cognitive functions in people with mild cognitive impairment and dementia: a meta-analysis
A multi-criterion feature integration framework for accurate diagnosis of Sjögren's disease using routine laboratory tests
Randomized controlled trial of a 12-week digital care program in improving low back pain
Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement
Tandospirone augments cisplatin treatment by lowering cholesterol and managing distress in NSCLC patients
Improving bowel preparation for colonoscopy with a smartphone application driven by artificial intelligence
Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs
Assessment of priorities, quality, and inclusivity of digital therapeutics trials in China
Adopting machine learning to automatically identify candidate patients for corneal refractive surgery
A deep-learning pipeline to diagnose pediatric intussusception and assess severity during ultrasound scanning: a multicenter retrospective-prospective study
Graph retrieval augmented large language models for facial phenotype associated rare genetic disease
Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation
Machine learning-based clinical decision support system for treatment recommendation and overall survival prediction of hepatocellular carcinoma: a multi-center study
Evidence for the effectiveness of digital health
Evaluation of the Allergy Fact Checker, a clinical decision support system for non-invasive beta-lactam delabeling: a mixed-methods study
Application of multimodal large language models for safety indicator calculation and contraindication prediction in laser vision correction
Challenges and prospects of visual contactless physiological monitoring in clinical study
Evaluating the performance of general purpose large language models in identifying human facial emotions
Author Correction: Hierarchical skin lesion image classification with prototypical decision tree
Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine
The algorithm journey map: a tangible approach to implementing AI solutions in healthcare
Reflecting health: smart mirrors for personalized medicine
Improving musculoskeletal care with AI enhanced triage through data driven screening of referral letters
Challenges and opportunities for digital twins in precision medicine from a complex systems perspective
Author Correction: Collection of the digital data from the neurological examination
Ethical considerations in AI for child health and recommendations for child-centered medical AI
A health digital twin framework for discrete event simulation based optimised critical care workflows
Wearable accelerometer-derived physical activity and incident disease
Reaching the unreached through an integrated communicable disease dashboard
Advancing efficacy prediction for electronic health records based emulated trials in repurposing heart failure therapies
The role of digital technology in surgical home hospital programs
Continuous cuffless blood pressure monitoring with a wearable ring bioimpedance device
Wearable data reveals distinct characteristics of individuals with persistent symptoms after a SARS-CoV-2 infection
Responsible Artificial Intelligence governance in oncology
Cross-Platform Omics Prediction procedure: a statistical machine learning framework for wider implementation of precision medicine
From ageing clocks to human digital twins in personalising healthcare through biological age analysis
Mobile health intervention CanRelax reduces distress in people with cancer in a randomized controlled trial
SpeechCARE: dynamic multimodal modeling for cognitive screening in diverse linguistic and speech task contexts
Prospective clinical evaluation of deep learning for ultrasonographic screening of abdominal aortic aneurysms
Blockchain vehicles for efficient Medical Record management
Identifying and mitigating algorithmic bias in the safety net
Development and prospective implementation of a large language model based system for early sepsis prediction
Language models for data extraction and risk of bias assessment in complementary medicine
AI-based diabetes care: risk prediction models and implementation concerns
Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data
Barriers and facilitators to utilizing digital health technologies by healthcare professionals
The language of crisis: spatiotemporal effects of COVID-19 pandemic dynamics on health crisis communications by political leaders
FDA launches health care at home initiative to drive equity in digital medical care
Systematic review of cost effectiveness and budget impact of artificial intelligence in healthcare
DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients
Lessons learned from an unsuccessful decentralized clinical trial in Oncology
Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI
Physical activity and sleep changes among children during the COVID-19 pandemic
A three-tier AI solution for equitable glaucoma diagnosis across China's hierarchical healthcare system
Powering responsible artificial intelligence with high-quality real-world data: the S-RACE platform for scalable, multi-specialty clinical research
Deep hierarchical subtyping of multi-organ systemic sclerosis trajectories - a EUSTAR study
How secure are your health devices - stopping wearables becoming a personal and national security risk?
Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions
Umbrella review of social inequality in digital interventions targeting dietary and physical activity behaviors
Author Correction: Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction
Equipping mathematical models for hospital dynamics using information theory
AI-doscopist: a real-time deep-learning-based algorithm for localising polyps in colonoscopy videos with edge computing devices
Blood pressure measurement using only a smartphone
Blood glucose variance measured by continuous glucose monitors across the menstrual cycle
Overcoming barriers in the use of artificial intelligence in point of care ultrasound
Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms
The DRAGON benchmark for clinical NLP
Early detection of dementia through retinal imaging and trustworthy AI
AI-driven preclinical disease risk assessment using imaging in UK biobank
In-ear infrasonic hemodynography with a digital health device for cardiovascular monitoring using the human audiome
The hidden risk of round numbers and sharp thresholds in clinical practice
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology
Towards a gamete matching platform: using immunogenetics and artificial intelligence to predict recurrent miscarriage
A scoping review on the role of virtual walking intervention in enhancing wellness
Clinical and economic impact of a large language model in perioperative medicine: a randomized crossover trial
Rapid vessel segmentation and reconstruction of head and neck angiograms from MR vessel wall images
Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries
Enhancing self-management in type 1 diabetes with wearables and deep learning
Impact of remote patient monitoring on clinical outcomes: an updated meta-analysis of randomized controlled trials
An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials
Advancing the frontier of rare disease modeling: a critical appraisal of in silico technologies