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JMIR Medical Informatics|April 16, 2026
Methodological Development and Assessing Prescribing Determinants Through Cumulative Drug Exposure in Hospitalized Patients: Proof-of-Concept Retrospective StudyMathilde Bories, Guillaume Bouzillé, Marc Cuggia, et al.JMIR Medical Informatics|June 3, 2026
Development and Interpretability Analysis of a Stacking Ensemble Model for Early Prediction of Nutritional Risk in Intensive Care Unit Patients: Retrospective Cohort StudyXu Zhang, An Fang, Pei Lou, et al.JMIR Medical Informatics|May 28, 2026
Advancing Alzheimer Disease Prediction With Large Language Model-Based Linguistic Feature Analysis: Development and Validation StudyMing-Hsia Hsu, San-Yih Hwang, Yi-Hang Tsai, et al.JMIR Medical Informatics|May 29, 2026
The Regional Implementation of an Electronic Health Record-Integrated Ambient Scribe in Primary and Secondary Care in England: Real-Time Qualitative EvaluationKathrin Cresswell, Catharine Rose, Jessica Howdle, et al.JMIR Medical Informatics|May 27, 2026
Multimodal Prediction of Renal Tumor Malignancy From Radiology Reports and Structured Electronic Health Records: Retrospective Cohort StudyZhengkang Fan, Renjie Liang, Chengkun Sun, et al.JMIR Medical Informatics|June 5, 2026
Predicting End-Stage Renal Disease and Mortality in Chronic Kidney Disease Using Machine Learning: Retrospective Cohort StudyTz-Heng Chen, Kuan-Hsun Lin, Yang Ho, et al.JMIR Medical Informatics|May 12, 2026
Scalable Identification of Clinically Relevant Chronic Obstructive Pulmonary Disease Documents in Large-Scale Electronic Health Record Datasets With a Lightweight Natural Language Processing Model: Retrospective Cohort StudyMohammed Al-Garadi, Sharon E Davis, Michael E Matheny, et al.JMIR Medical Informatics|May 19, 2026
The Impact of Electronic Health Records on Family Physicians During Simulated Virtual Encounters: Exploratory Mixed Methods StudyLisa Shah, Helen Monkman, Andre Kushniruk, et al.JMIR Medical Informatics|May 19, 2026
Machine Learning Prediction Model for Dyslipidemia and Its Association With Atherothrombotic Events in 3 Independent Cohorts From South Korea, Japan, and the United Kingdom: Algorithm Development and Validation StudyTae Hyeon Kim, Soeun Kim, Yerim Kim, et al.JMIR Medical Informatics|March 30, 2026
Viewpoint on the Consequences and Mitigation of Cognitive Bias in the Radiological Interpretation of Breast Cancer Imaging Using Artificial IntelligenceLorenzo Conti, Benedetta Capetti, Ottavia Battaglia, et al.Pageof 198