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JMIR Medical Informatics|October 25, 2024
The Impact of International Classification of Disease-Triggered Prescription Support on Telemedicine: Observational Analysis of Efficiency and Guideline AdherenceTarso Augusto Duenhas Accorsi, Anderson Aires Eduardo, Carlos Guilherme Baptista, et al.
JMIR Medical Informatics|October 24, 2024
Targeted Development and Validation of Clinical Prediction Models in Secondary Care Settings: Opportunities and Challenges for Electronic Health Record DataI S van Maurik, H J Doodeman, B W Veeger-Nuijens, et al.
JMIR Medical Informatics|October 17, 2024
Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative StudyShengyu Liu, Anran Wang, Xiaolei Xiu, et al.
JMIR Medical Informatics|May 28, 2026
Blockchain Smart Contracts for Automating Clinical Trials: Systematic Review and Proposed System ArchitectureZara Sheikh, Gargi Samarth, Usman Jaffer
JMIR Medical Informatics|May 7, 2026
Clinical Context Variables Collectively Rival Model Choice in Embedding-Based Retrieval: Multi-Corpus Benchmark StudyYngve Mikkelsen
JMIR Medical Informatics|May 21, 2026
A Practical Approach to Assessing the Completeness of Electronic Health Records for Medical Research: Data Quality StudyMinsik Lim, Doyeon An, Nayeong Son, et al.
JMIR Medical Informatics|May 14, 2026
Multimodal Fusion of Echocardiogram Images and Electronic Medical Records for Heart Disease Screening: Retrospective Algorithm Development and Validation StudyBokai Yang, Yirong Qin, Ye Li, et al.
JMIR Medical Informatics|May 15, 2026
Implementation and Evaluation of an Alternative Electronic Health Record Tool for Ordering Blood Products in Pediatric Oncology and Stem Cell Transplantation: Mixed Methods AnalysisAlly Sarna, Aya Finkelstein, Caroline Malcolmson, et al.
JMIR Medical Informatics|March 10, 2026
Artificial Intelligence Models for Predicting Triage in Emergency Departments: Seven-Month Retrospective Comparative Study of Natural Language Processing, Large Language Model, and Joint Embedding Predictive ArchitecturesEdouard Lansiaux, Ramy Azzouz, Emmanuel Chazard, et al.
JMIR Medical Informatics|March 16, 2026
Machine Learning Prediction of Progression to Dialysis in Patients With Polycystic Kidney Disease: Population-Based Retrospective Cohort StudyCheng-Hao Chang, Mingchih Chen, Ming-Hsien Tsai, et al.
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