Responsible Health AI
Articles published in 2026 in this theme: 104 (scroll down to load remaining articles)
2026
Rethinking Health Care Regulatory Sandboxes Under the European Union AI Act
JMIR AI 2026 (Oct 30); 5:e98653
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Deriving a Deployment Threshold for Benefit and Harm in Clinical AI: Multi-Institutional Decision-Analytic Modeling Study
JMIR AI 2026 (Oct 23); 5:e109863
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Knowledge, Attitudes, and Practices of Malaysian Pharmacists Regarding AI Adoption: Cross-Sectional Study
JMIR Form Res 2026 (Oct 20); 10:e101650
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Human-AI Agreement in Citation Validation of an AI-Generated Subspecialty Anesthesiology Knowledge Base: Cross-Sectional Paired Validation Study
J Meta and Res Int 2026 (Oct 19); 1:e105947
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Variation in Medical Ethics Recommendations Across Large Language Models: Case-Based Audit Study
JMIR AI 2026 (Oct 19); 5:e102713
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Clinical Effectiveness of AI-Based Cardiac Arrest Prediction System for General Ward Patients (VITAL-MD): Protocol for a Multicenter Pragmatic Stepped Wedge Cluster Randomized Controlled Trial
JMIR Res Protoc 2026 (Oct 19); 15:e104230
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Safety-Filter Fallback on Consumer Health Questions During the Initial Claude Fable 5 Deployment: Observational Study
JMIR AI 2026 (Oct 07); 5:e104856
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The Double-Edged Sword Effect of AI Application Among Clinical Nurses Based on the Job Demands-Resources Model: Qualitative Study
JMIR Nursing 2026 (Oct 02); 9:e100916
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Intersectionality in AI and Machine Learning for Health Care: Protocol for a Scoping Review
JMIR Res Protoc 2026 (Sep 30); 15:e103601
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Translating Real-World Safety and Implementation Gaps Into a Deployment-Derived AI Readiness Preimplementation Checklist for NHS Health Care Providers: Checklist Development Study
JMIR AI 2026 (Sep 28); 5:e93900
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SAFE_DTx: Safety-First Framework for AI-Driven Personalization in Digital Therapeutics
JMIR Med Inform 2026 (Sep 25); 14:e78202
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Implicit Bias in Large Language Model Diagnosis of Eating Disorders: Experimental Vignette Study
JMIR AI 2026 (Sep 23); 5:e93498
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The Perceived Influence of AI on the Craftsmanship of Physicians: Qualitative Interview and Focus Group Study
JMIR AI 2026 (Sep 23); 5:e93854
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Attitudes Toward Large Language Models in Health Care and Preferences for Their Adoption and Oversight Among Health Care Professionals: Cross-Sectional Survey
J Med Internet Res 2026 (Sep 15); 28:e87818
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Frameworks, Methodologies, and Tools for Evaluating Large Language Models in Digital Mental Health Interventions: Protocol for a Scoping Review
JMIR Res Protoc 2026 (Sep 14); 15:e91677
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Exploring Bias in Medical Applications of Large Language Models: Protocol for a Systematic Review
JMIR Res Protoc 2026 (Sep 10); 15:e91348
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When Markets Shape AI Mental Health Self-Management Tools: Consequences for Serious Mental Illness
JMIR Ment Health 2026 (Aug 25); 13:e99143
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A Simplified Metric to Streamline Between-Group Fairness Assessment for Predictive Models: Algorithm Development and Evaluation Study
JMIR AI 2026 (Aug 24); 5:e85822
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Digital Health Competence and Attitudes Toward AI Among Health Care Professionals: Convergent Mixed Methods Study
J Med Internet Res 2026 (Aug 24); 28:e96170
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Local Deployment of Open-Weight Language Models in Dermatology: Viewpoint on Privacy, Equity, and Practical Implementation
JMIR Dermatol 2026 (Aug 21); 9:e94764
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