Decision Support for Health Professionals
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Articles published in 2026 in this theme: 172 (scroll down to load remaining articles)
2026
Benchmark Integrity and Reasoning-Trace Errors in Medical Question Answering With Large Language Models: Mixed Methods Study With Sparse Autoencoders
J Med Internet Res 2026 (Jun 12); 28:e90061
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A Structured Comparison of the Coalition for Health AI Responsible AI Guide and South Korea’s Trustworthy AI Guideline for Health Care AI Assurance: Comparative Framework Analysis
JMIR AI 2026 (Jun 11); 5:e86220
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Effectiveness of Guideline-Based Clinical Decision Support Systems: Protocol for a Systematic Review
JMIR Res Protoc 2026 (Jun 11); 15:e87006
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Acceptability, Usability, and Perceived Quality of Care of a Digital Decision Support System in Tele–Primary Health Care in Sindh, Pakistan: Sequential Explanatory Mixed Methods Pilot Study
JMIR Form Res 2026 (Jun 11); 10:e81995
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Evaluating Postpartum Hemorrhage Transfusion Risk With a Machine Learning Model for Informed Consent: Retrospective Cohort Study
JMIR Form Res 2026 (Jun 11); 10:e82424
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Uptake of Clinical Decision Support Systems Among Health Care Professionals in Six European Countries and the United States: Cross-Sectional Survey Within the I-CARE4OLD Project
J Med Internet Res 2026 (Jun 11); 28:e85071
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Machine Learning for Intraoperative Bleeding Prediction in Patients Undergoing Surgery: Scoping Review
JMIR Med Inform 2026 (Jun 10); 14:e80930
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Good Clinical Practice Guidance for Line Materials, Filtration, and Light Protection in Intravenous Medication Administration: Modified Delphi Consensus Study
JMIR Hum Factors 2026 (Jun 10); 13:e88333
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Text Messaging Support for Patients Diagnosed With Impaired Glucose Tolerance During Pregnancy: Nonrandomized Pre-Post Implementation Study Assessing Impact on Postpartum Transitions of Care
J Med Internet Res 2026 (Jun 09); 28:e76493
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Dose Recommendations for Drugs in Patients With Liver Cirrhosis (The ALIVe Study): Protocol for a Multiphase Validation and Consensus Study
JMIR Res Protoc 2026 (Jun 09); 15:e89042
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Barriers, Facilitators, and Intention to Use AI for Breast Cancer Diagnosis: Mixed Methods Study Among Austrian Physicians With and Without AI Experience
J Med Internet Res 2026 (Jun 09); 28:e80274
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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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Advancing Gastrointestinal Cancer Risk Prediction With Patient-Centered Machine Learning: Machine Learning Modeling Study
JMIR Med Inform 2026 (Jun 04); 14:e78931
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AI-Based Triage Decision Support: Multisite Economic Evaluation in the United States
J Med Internet Res 2026 (Jun 03); 28:e95213
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Development and Interpretability Analysis of a Stacking Ensemble Model for Early Prediction of Nutritional Risk in Intensive Care Unit Patients: Retrospective Cohort Study
JMIR Med Inform 2026 (Jun 03); 14:e77872
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Implementation of an e-Tool (the Provider Asthma Assessment Form) Integrated Into the Electronic Medical Record in Primary Care: Mixed Methods Survey of Perceived Utility, Practitioner Satisfaction, Barriers and Enablers
JMIR Form Res 2026 (Jun 03); 10:e80399
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Novel Online Platform for Trauma Care—Integrating Trauma Phenotypes to Optimize the Trauma and Injury Severity Score Model: Retrospective Cohort Study
JMIR Med Inform 2026 (Jun 02); 14:e90011
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Radiologist Perceptions of an AI Tool for Intracranial Hemorrhage Detection in Teleradiology: Cross-Sectional Survey Study
JMIR Hum Factors 2026 (Jun 02); 13:e92145
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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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Improving Vancomycin Therapeutic Drug Monitoring With a Deep Learning–Based Two-Compartment Predictive Model: Development and Validation Study
JMIR AI 2026 (Jun 01); 5:e81103
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