Ethical considerations for clinical adoption of ambient digital scribe technology

Heterogenous effect of automated alerts on mortality

Multi-site analysis of COVID-19 and new-onset diabetes reveals need for improved sensitivity of EHR-based COVID-19 phenotypes—a DiCAYA network analysis

AutoReporter: development of an artificial intelligence tool for automated assessment of research reporting guideline adherence

Identifying and supporting trafficked individuals: provider and community organization perspectives on existing sociotechnical approaches

Mitigating Suicide Risk for Minors Involving AI Chatbots—A First in the Nation Law

Vulnerability of Large Language Models to Prompt Injection When Providing Medical Advice

AI and Health—The Year in Review

Large Language Models and Communication of Medical Probabilities

Knowledge graph-augmented large language models for reconstructing life course risk pathways: a gestational diabetes mellitus-to-dementia case study

Uptake of Generative AI Integrated With Electronic Health Records in US Hospitals

Patient perspectives on gender identity and anatomy data collection in electronic health records: a qualitative study

Patient attitudes toward ambient artificial intelligence scribes in clinical care: insights from a cross-sectional study

A Novel Tool for Predicting Malignant Disease in Adult Patients With Dermatomyositis

Scalable confounding adjustment in real-world evidence: benchmarking data-adaptive and investigator-specified strategies in a large-scale trial emulation study

New Guidance on Responsible Use of AI

Listening to the note: clinician perspectives on ambient artificial intelligence scribes in medical documentation

Are asynchronous or synchronous clinical decision support more likely to change provider behavior? A case study in dementia

Determining optimal strategies for personalized atrial fibrillation treatment in intensive care unit patients using a deep learning-based causal inference approach: rhythm and/or rate control

Evaluation of trajectory analysis for disease risk assessment: a scoping review

Ensemble transfer learning for classifying physical examinations in GP consultation: a multi-model approach to human-object and human-to-human activity recognition

Comparison of clinical outcomes of sepsis patients in two county emergency departments using systemic inflammatory response syndrome versus Epic’s proprietary severe sepsis alert

Development and Validation of a Hybrid Machine Learning Model to Predict Lung Transplant Outcomes

Frameworks and methods

Mapping social media analytics in firearm injury exposure research: a scoping review

Gaps in artificial intelligence research for rural health in the United States: a scoping review

Chatbot-Delivered Real-Time Support to Improve HIV Self-Testing Rates: A Randomized Clinical Trial

Adoption of Artificial Intelligence in the Health Care Sector

A Lossless One-shot Distributed Algorithm for Addressing Heterogeneity in Multi-Site Generalized Linear Models

Generative Psychometrics—An Emerging Frontier in Mental Health Measurement

Retraction and replacement of: Electronic connectivity between hospital pairs: impact on emergency department-related utilization

Bias, artificial intelligence, and humans

Does it save me money? The economic impact of mobile health interventions on medical expenditure of diabetic patients

Electronic connectivity between hospital pairs: impact on emergency department-related utilization

Satisfaction in Writing

Software as a Medical Practitioner—Is It Time to License Artificial Intelligence?

Applying Clinical Licensure Principles to Artificial Intelligence

Performance of Foundation Models vs Physicians in Textual and Multimodal Ophthalmological Questions

Development of a robust corpus for automated evaluation of online health information in Chinese using the DISCERN scale

Improving patient understanding of radiology reports using generative artificial intelligence: a vignette study of 2000 US adults

PhenoFit: a framework for determining computable phenotyping algorithm fitness for purpose and reuse

A novel, standardised approach to balancing effectiveness, efficiency and utility of surveillance AI prediction models for hospitalised patients using sepsis prediction as an exemplar

Digital Detection of Dementia in Primary Care: A Randomized Clinical Trial

Implementation Intelligence With AI—Prospective Evaluations Needed

Assessing genetic counseling efficiency with natural language processing

Detecting Transthyretin Cardiac Amyloidosis With Artificial Intelligence: A Nonrandomized Clinical Trial

Supporting electronic health record data usage in research for teams with varying data science and clinical knowledge: a food service analogy approach

FDA Approval of Artificial Intelligence and Machine Learning Devices in Radiology: A Systematic Review

Use of Generative AI for Mental Health Advice Among US Adolescents and Young Adults

Emerging Artificial Intelligence Technologies for Risk Assessment and Management in Acute Myeloid Leukemia: A