AI Language Models in Health Care
Articles published in this theme: 303 (scroll down to load remaining articles)
2026
Supervised Fine-Tuning of Large Language Models With Chain-of-Thought Reasoning for Pediatric Heart Disease Detection in Unstructured Echocardiogram Reports: Algorithm Development and Validation
JMIR Form Res 2026 (Jun 08); 10:e90968
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Comparing the Accuracy of ChatGPT-4o, DeepSeek-V3, and Gemini 2.5 Flash in Answering Frequently Asked Questions About Systemic Lupus Erythematosus: Quantitative Study
JMIR Form Res 2026 (Jun 08); 10:e89156
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AI Chatbot Answers for Drug Dosing Adjustments According to Renal Function in Geriatric Patients Using the New Scoring System (AI Quality Output Score): Cross-Sectional Study
JMIR AI 2026 (Jun 05); 5:e87803
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Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation
JMIR Med Inform 2026 (Jun 04); 14:e87368
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A Large Language Model–Powered Multiagent Framework Emulating Standardized Patients in Clinical Communication Skills Training: Development and Evaluation Study
J Med Internet Res 2026 (Jun 04); 28:e84747
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Performance of Vision-Enabled Large Language Models in Image-Based Electrocardiogram Interpretation: Exploratory Evaluation
J Med Internet Res 2026 (Jun 03); 28:e86692
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Clinical Note Generation From Doctor-Patient Conversations Using Parameter-Efficient Fine-Tuning Large Language Models: Comparative Study
JMIR Med Inform 2026 (Jun 03); 14:e82545
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Confidence Measurement Metrics in Multimodal Large Language Models for Ultrasound-Based Radiology Cases: Comparative Evaluation Study of Self-Reported, Consistency-Based, and Hybrid Methods
J Med Internet Res 2026 (Jun 02); 28:e86498
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Preliminary Evaluation of a Large Language Model–Powered Chatbot for Osteoporosis Self-Management Education: Formative Randomized Controlled Trial
JMIR Form Res 2026 (Jun 02); 10:e85475
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Detection of Self-Harm in Electronic Mental Health Records Using Privacy-Preserving Local Language Models: Methodological Study
JMIR Ment Health 2026 (Jun 02); 13:e87586
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Hospitalists Are Already Using AI—Why Implementation Will Determine Its Impact
J Med Internet Res 2026 (Jun 01); 28:e97419
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Performance of Large Language Models on the Brazilian National Medical Education Examination: Comparative Benchmark Study
JMIR Med Educ 2026 (May 29); 12:e89839
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Application of Sparse Autoencoders to Enhance Mechanistic Interpretability of Large Language Models in Medicine
JMIR AI 2026 (May 27); 5:e81134
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Differences in Safety Risks Across Languages in Health-Relevant Queries: Vulnerability Analysis of Large Language Model Responses
JMIR Form Res 2026 (May 26); 10:e87465
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Large Language Model–Generated Patient Instructions for Prescriptions in Primary Health Care: Preclinical Algorithm Validation
J Med Internet Res 2026 (May 26); 28:e84444
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Extracting Cardiorespiratory Symptoms From Clinical Notes Using Open-Weight Large Language Models: Method Development and Validation Study
JMIR Cardio 2026 (May 22); 10:e89480
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Benchmarking Large Language Models and Prompt Engineering Strategies in Microsatellite Instability Cancers: Evaluation Study
J Med Internet Res 2026 (May 21); 28:e88614
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Extracting Social Determinants of Health From Electronic Health Records: Development and Comparison of Rule-Based and Large Language Model Methods
JMIR Med Inform 2026 (May 19); 14:e89534
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A Multiassessment and Multiprofessional Agents Approach for Medical Chatbot Risk Estimation: Development and Evaluation Study
JMIR Med Inform 2026 (May 15); 14:e80416
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Large Language Models and Their Applications in Mental Health: Scoping Review
JMIR Ment Health 2026 (May 15); 13:e88057
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