yusuke1997/dblp-id-title huggingface dataset:
Cost minimization analysis of digital-first healthcare pathways in primary care
Evaluation of performance of generative large language models for stroke care
An aligned framework of actively collected and passively monitored clinical outcome assessments (COAs) for measure selection
Regulatory considerations to keep pace with innovation in digital health products
Bridging between hype and implementation in medical extended reality
Population-scale cross-sectional observational study for AI-powered TB screening on one million CXRs
Intraoperative monitoring of neuromuscular function with soft, skin-mounted wireless devices
Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models
A multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identification
Economic analysis of an AI-enabled ECG alert system: impact on mortality outcomes from a pragmatic randomized trial
Deep learning-enabled point-of-care sensing using multiplexed paper-based sensors
WHO Digital Health Guidelines: a milestone for global health
Contemporary attitudes and beliefs on coronary artery calcium from social media using artificial intelligence
Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine
Regulatory responses and approval status of artificial intelligence medical devices with a focus on China
Diagnostic performance of artificial intelligence-assisted PET imaging for Parkinson's disease: a systematic review and meta-analysis
A scoping review and evidence gap analysis of clinical AI fairness
Robust automated calcification meshing for personalized cardiovascular biomechanics
Identifying clusters of people with Multiple Long-Term Conditions using Large Language Models: a population-based study
Bias in AI-based models for medical applications: challenges and mitigation strategies
Retrieval-augmented generation elevates local LLM quality in radiology contrast media consultation
By the numbers: ratings and utilization of behavioral health mobile applications
Talking about diseases; developing a model of patient and public-prioritised disease phenotypes
A scoping review of artificial intelligence-based methods for diabetes risk prediction
Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings
Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical records
Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications
Soft skin-interfaced mechano-acoustic sensors for real-time monitoring and patient feedback on respiratory and swallowing biomechanics
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
Enhanced staging of renal cell carcinoma using tumor morphology features: model development and multi-source validation
Agile research to complement agile development: a proposal for an mHealth research lifecycle
Health intelligence: how artificial intelligence transforms population and personalized health
Evidence-based health messages increase intention to cope with loneliness in Germany: a randomized controlled online trial
Deriving novel atrial fibrillation phenotypes using a tree-based artificial intelligence-enhanced electrocardiography approach
Effectiveness of a digital therapeutic as adjunct to treatment with medication in pediatric ADHD
Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests
Health app policy: international comparison of nine countries' approaches
Author Correction: The effectiveness of public health advertisements to promote health: a randomized-controlled trial on 794, 000 participants
How might Hospital at Home enable a greener and healthier future?
Evolutionary game analysis of healthcare data governance in China's experimental data trading pilots
A real world evaluation of an innovative artificial intelligence tool for population-level breast cancer screening
Trait-like nocturnal sleep behavior identified by combining wearable, phone-use, and self-report data
Machine intelligence in healthcare - perspectives on trustworthiness, explainability, usability, and transparency
A mixed methods formative evaluation of the United Kingdom National Health Service Artificial Intelligence Lab
Privacy-friendly evaluation of patient data with secure multiparty computation in a European pilot study
Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments
Digital twin integrating clinical, morphological and hemodynamic data to identify stroke risk factors
BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images
If a therapy bot walks like a duck and talks like a duck then it is a medically regulated duck
Advanced and interpretable corneal staining assessment through fine grained knowledge distillation
VetTag: improving automated veterinary diagnosis coding via large-scale language modeling
Health equity through CMS collaboration with startups and digital health innovations
Digital inclusion as a social determinant of health
Application of smart devices in investigating the effects of air pollution on atrial fibrillation onset
The utility of personal wearable data in long COVID and personalized patient care
A methodological systematic review of validation and performance of sepsis real-time prediction models
A strategy for cost-effective large language model use at health system-scale
Incorporating digitally derived endpoints within clinical development programs by leveraging prior work
Transforming healthcare delivery with conversational AI platforms
Author Correction: Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong
Ethical guidance for reporting and evaluating claims of AI outperforming human doctors
The need to transition from paper to electronic instructions for use for diabetes devices
Legal implications of AI standard of care integration on patients' informed consent: lessons from surgery
Predicting outcomes after moderate and severe traumatic brain injury using artificial intelligence: a systematic review
AI in the hands of imperfect users
Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial
A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations
A systematic review and meta-analysis of diagnostic performance comparison between generative AI and physicians
A multitask deep learning model utilizing electrocardiograms for major cardiovascular adverse events prediction
Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer
Building a modular and multi-cellular virtual twin of the synovial joint in Rheumatoid Arthritis
Rapid crowdsourced innovation for COVID-19 response and economic growth
Benchmark on a large cohort for sleep-wake classification with machine learning techniques
Adherence to non-pharmaceutical interventions following COVID-19 vaccination: a federated cohort study
Rapid development of a registry to accelerate COVID-19 vaccine clinical trials
Consternation as Congress proposal for autonomous prescribing AI coincides with the haphazard cuts at the FDA
Generative AI and large language models in health care: pathways to implementation
A systematic review on patient and public attitudes toward health monitoring technologies across countries
Ultra-rapid, sensitive and specific digital diagnosis of HIV with a dual-channel SAW biosensor in a pilot clinical study
Artificial intelligence should genuinely support clinical reasoning and decision making to bridge the translational gap
Towards a common European ethical and legal framework for conducting clinical research: the GATEKEEPER experience
Author Correction: Impact of a deep learning sepsis prediction model on quality of care and survival
Digital twin models for predicting venetoclax and azacitidine-induced neutropenia in patients with acute myeloid leukemia
The algorithmic consultant: a new era of clinical AI calls for a new workforce of physician-algorithm specialists
The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation
When investigator meets large language models: a qualitative analysis of cancer patient decision-making journeys
Fast and accurate prediction of drug induced proarrhythmic risk with sex specific cardiac emulators
Systematic review and meta-analysis of deep learning for MSI-H in colorectal cancer whole slide images
Hybrid machine learning for real-time prediction of edema trajectory in large middle cerebral artery stroke
Reasoning red teaming in healthcare not all paths to a desired outcome are desirable
AI-driven virtual cell models in preclinical research: technical pathways, validation mechanisms, and clinical translation potential
Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases
Cost effectiveness review of text messaging, smartphone application, and website interventions targeting T2DM or hypertension
Deep learning-based brain age predicts stroke recurrence in acute ischemic cerebrovascular disease
Classification grid and evidence matrix for evaluating digital medical devices under the European union landscape
Systematic review and meta-analysis of standalone digital interventions for cognitive symptoms in people without dementia
Explainable deep learning approach for extracting cognitive features from hand-drawn images of intersecting pentagons
AI-assisted multi-modal information for the screening of depression: a systematic review and meta-analysis
A systematic literature review on integrating AI-powered smart glasses into digital health management for proactive healthcare solutions
A multi-center study on the adaptability of a shared foundation model for electronic health records
AI driven decision support reduces antibiotic mismatches and inappropriate use in outpatient urinary tract infections
Long-term changes in wearable sensor data in people with and without Long Covid
Assessing nocturnal scratch with actigraphy in atopic dermatitis patients
Beyond the clinic: the rise of wearables and smartphones in decentralising healthcare
Computational pharmacovigilance of Lifitegrast in dry eye disease using machine learning and network toxicology
Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong
Control Tower in the hospital: a structure-process-outcome systemic review of telemedicine systems for interprofessional collaboration
Estimating the incidence of cocaine use and mortality with music lyrics about cocaine
Contrasting rule and machine learning based digital self triage systems in the USA
Computationally derived transition points across phases of clinical care
A digital physician peer to automatically detect erroneous prescriptions in radiotherapy
Understanding activity and physiology at scale: The Apple Heart & Movement Study
The role of digital twins in P4 medicine: A paradigm for modern healthcare
Management of cardiovascular disease using an mHealth tool: a randomized clinical trial
Alzheimer's disease digital biomarkers multidimensional landscape and AI model scoping review
Evaluating the seasonality of growth in infants using a mobile phone application
Health-focused conversational agents in person-centered care: a review of apps
Predicting risk of late age-related macular degeneration using deep learning
Learning from Online Video Education (LOVE) improves confidence in fertility treatments: a randomized controlled trial
A systematic review of real-world gait-related digital mobility outcomes in Parkinson's disease
Machine learning-based prediction of COVID-19 diagnosis based on symptoms
Predicting HPV association using deep learning and regular H&E stains allows granular stratification of oropharyngeal cancer patients
A vital sign-based prediction algorithm for differentiating COVID-19 versus seasonal influenza in hospitalized patients
Individualized decision making in on-scene resuscitation time for out-of-hospital cardiac arrest using reinforcement learning
Opportunities for CMS to improve healthcare access and equity through advancing technology-enabled startups and digital health innovations
A machine learning approach predicts future risk to suicidal ideation from social media data
Response To: Investigating sources of inaccuracy in wearable optical heart rate sensors
Association of physical activity pattern and risk of Parkinson's disease
Generalizable and robust deep learning algorithm for atrial fibrillation diagnosis across geography, ages and sexes
Breaking geographic and language barriers in neuropsychology: online administration of MoCA in diverse populations
AI in Histopathology Explorer for comprehensive analysis of the evolving AI landscape in histopathology
Impact of digital health interventions on glycemic control and weight management
Digital assessment of falls risk, frailty, and mobility impairment using wearable sensors
Clinical validation of smartphone-based activity tracking in peripheral artery disease patients
Wearable sensors for monitoring the physiological and biochemical profile of the athlete
Deep learning for automated sleep staging using instantaneous heart rate
Fine-grained forecasting of COVID-19 trends at the county level in the United States
Generative artificial intelligence for fundus fluorescein angiography interpretation and human expert evaluation
Measuring the effect of Non-Pharmaceutical Interventions (NPIs) on mobility during the COVID-19 pandemic using global mobility data
Opportunities and counterintuitive challenges for decentralized clinical trials to broaden participant inclusion
Digital envirotyping: quantifying environmental determinants of health and behavior
Cross sectional pilot study on clinical review generation using large language models
Social media language of healthcare super-utilizers
Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery
The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review
Combined telemonitoring and telecoaching for heart failure improves outcome
Design specifications for biomedical virtual twins in engineered adoptive cellular immunotherapies
A high-generalizability machine learning framework for predicting the progression of Alzheimer's disease using limited data
Automated real-time assessment of intracranial hemorrhage detection AI using an ensembled monitoring model (EMM)
A systematic review of portable technologies for the early assessment of motor development in infants
Peer perceptions of clinicians using generative AI in medical decision-making
Author Correction: The digital scribe
Feasibility of snapshot testing using wearable sensors to detect cardiorespiratory illness (COVID infection in India)
A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19
Ecologically sustainable benchmarking of AI models for histopathology
Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
On the public dissemination and open sourcing of ultrasound resources, datasets and deep learning models
Author Correction: Towards harmonizing assessment and reimbursement of digital medical devices in the EU through mutual learning
The imperative for regulatory oversight of large language models (or generative AI) in healthcare
Population measurement for health systems
Discovering a trans-omics biomarker signature that predisposes high risk diabetic patients to diabetic kidney disease
Identifying acute exacerbations of chronic obstructive pulmonary disease using patient-reported symptoms and cough feature analysis
Developing a digital intervention for cancer survivors: an evidence-, theory- and person-based approach
PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
Machine learning of language use on Twitter reveals weak and non-specific predictions
Quantifying neurologic disease using biosensor measurements in-clinic and in free-living settings in multiple sclerosis
A longitudinal analysis of declining medical safety messaging in generative AI models
Leveraging long context in retrieval augmented language models for medical question answering
Navigating the tradeoff between personal privacy and data utility in speech anonymization for clinical research
Prediction of 1 and 2 week nonelective hospitalization and sepsis hospitalization risk in adults
Assessing alternative strategies for measuring metabolic risk
Germany's digital health reforms in the COVID-19 era: lessons and opportunities for other countries
A systematic review of digital and face-to-face cognitive behavioral therapy for depression
Harnessing electronic health records to study emerging environmental disasters: a proof of concept with perfluoroalkyl substances (PFAS)
STD-Net: a spatio-temporal decoupling network for multiphasic liver lesion segmentation and characterization
Large language models driven neural architecture search for universal and lightweight disease diagnosis on histopathology slide images
Leveraging reimbursement strategies to guide value-based adoption and utilization of medical AI
Smartphone-based migraine behavioral therapy: a single-arm study with assessment of mental health predictors
Ensemble learning approaches for early prediction of chronic kidney disease based on polysomnographic phenotype analysis
Determinants of depressive symptoms in multinational middle-aged and older adults
How the weather affects the pain of citizen scientists using a smartphone app
An interpretable artificial intelligence system for detecting risk factors of gastroesophageal variceal bleeding
Monitoring the opioid epidemic via social media discussions
Embedded framework for clinical medical image segment anything in resource limited healthcare regions
Social license for the use of big data in the COVID-19 era
Prediction across healthcare settings: a case study in predicting emergency department disposition
Simulated misuse of large language models and clinical credit systems
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality
Developing current procedural terminology codes that describe the work performed by machines
Wearable sensors for Parkinson's disease: which data are worth collecting for training symptom detection models
A sociotechnical framework to assess patient-facing eHealth tools: results of a modified Delphi process
Screening chronic kidney disease through deep learning utilizing ultra-wide-field fundus images
The health digital twin to tackle cardiovascular disease - a review of an emerging interdisciplinary field
Implementing a closed loop clinical decision support system for sustainable preoperative care
Real time machine learning prediction of next generation sequencing test results in live clinical settings
Digital health technology in clinical trials
A scoping review assessing the usability of digital health technologies targeting people with multiple sclerosis
Systematic review and meta-analysis on fully automated digital cognitive behavioral therapy for insomnia
Scaling enterprise AI in healthcare: the role of governance in risk mitigation frameworks
The user experience of ambulatory assessment and mood monitoring in depression: a systematic review & meta-synthesis
Bridging the mentorship divide: how large language models could reshape medical workforce equity
Multimodal generative AI for interpreting 3D medical images and videos
Human visual explanations mitigate bias in AI-based assessment of surgeon skills
Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection
Next-generation AI framework for comprehensive oral leukoplakia evaluation and management
Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness
Mobile health technology for diverse populations: challenges and opportunities
Photoplethysmography based atrial fibrillation detection: a review
A scoping review of large language models for generative tasks in mental health care
Multimodal deep ensemble classification system with wearable vibration sensor for detecting throat-related events
Multimodal machine learning for risk-stratified bundled payments in spinal surgery
PAM: a propagation-based model for segmenting any 3D objects across multi-modal medical images
A noninvasive realtime body position monitoring system for the entire course of tumor radiotherapy
Identification of robust deep neural network models of longitudinal clinical measurements
A Novel method for quantifying fluctuations in wearable derived daily cardiovascular parameters across the menstrual cycle
Best practices for authors of healthcare-related artificial intelligence manuscripts
Challenges and opportunities of deep learning for wearable-based objective sleep assessment
Video clips for patient comprehension of atrial fibrillation and deep vein thrombosis in emergency care. A randomised clinical trial
Reply to: Immortal time bias in the analysis of drug prescription trajectories
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging
Defining digital surgery for the future
Association of accelerometer-derived circadian abnormalities and genetic risk with incidence of atrial fibrillation
Evaluating digital medicine ingestion data from seriously mentally ill patients with a Bayesian Hybrid Model
A digital twin model incorporating generalized metabolic fluxes to identify and predict chronic kidney disease in type 2 diabetes mellitus
Wearable activity monitors to assess performance status and predict clinical outcomes in advanced cancer patients
Development and assessment of a machine learning tool for predicting emergency admission in Scotland
Automatic identification of tinnitus malingering based on overt and covert behavioral responses during psychoacoustic testing
Applying the principle of justice in digital health
Interpretable longitudinal glaucoma visual field estimation deep learning system from fundus images and clinical narratives
Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework
Expanding care coordination in an integrated health system through causal machine learning
Impact of a deep learning sepsis prediction model on quality of care and survival
Has increased telehealth access during COVID-19 led to over-utilization of primary care?
Leveraging pretrained language models for seizure frequency extraction from epilepsy evaluation reports
Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors
Multi-task deep learning for cardiac rhythm detection in wearable devices
Smart toilets for monitoring COVID-19 surges: passive diagnostics and public health
Augmented non-hallucinating large language models as medical information curators
Factors associated with long-term use of digital devices in the electronic Framingham Heart Study
Predictive modeling for step II therapy response in periodontitis - model development and validation
Natural language generation for electronic health records
Digital twins for health: a scoping review
A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis
Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms
Generative artificial intelligence: the 'more knowledgeable other' in a social constructivist framework of medical education
A gender specific risk assessment of coronary heart disease based on physical examination data
Using a fine-tuned large language model for symptom-based depression evaluation