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JMIR AI|July 3, 2025
Generative AI in Medicine: Pioneering Progress or Perpetuating Historical Inaccuracies? Cross-Sectional Study Evaluating Implicit BiasPhilip Sutera, Rohini Bhatia, Timothy Lin, et al.
JMIR AI|July 3, 2025
The Elastic Electronic Health Record: A Five-Tiered Framework for Applying Artificial Intelligence to Electronic Health Record Maintenance, Configuration, and UseColby Uptegraft, Kameron Collin Black, Jonathan Gale, et al.
JMIR AI|July 3, 2025
Performance of 3 Conversational Generative Artificial Intelligence Models for Computing Maximum Safe Doses of Local Anesthetics: Comparative AnalysisMélanie Suppan, Pietro Elias Fubini, Alexandra Stefani, et al.
JMIR AI|July 4, 2025
Large Language Models for Thematic Summarization in Qualitative Health Care Research: Comparative Analysis of Model and Human PerformanceArturo Castellanos, Haoqiang Jiang, Paulo Gomes, et al.
JMIR AI|July 4, 2025
Using Segment Anything Model 2 for Zero-Shot 3D Segmentation of Abdominal Organs in Computed Tomography Scans to Adapt Video Tracking Capabilities for 3D Medical Imaging: Algorithm Development and ValidationYosuke Yamagishi, Shouhei Hanaoka, Tomohiro Kikuchi, et al.
JMIR AI|September 17, 2025
Comparative Diagnostic Performance of a Multimodal Large Language Model Versus a Dedicated Electrocardiogram AI in Detecting Myocardial Infarction From Electrocardiogram Images: Comparative StudyHaemin Lee, Sooyoung Yoo, Joonghee Kim, et al.
JMIR AI|September 21, 2025
Examining Transparency in Kidney Transplant Recipient Selection Criteria: Nationwide Cross-Sectional StudyBelen Rivera, Stalin Canizares, Gabriel Cojuc-Konigsberg, et al.
JMIR AI|September 22, 2025
Developing a Tool for Identifying Clinical Risk From Free-Text Clinical Records: Natural Language Processing StudyNatasha Biscoe, Daniel Leightley, Dominic Murphy
JMIR AI|May 5, 2025
Exploring Patient Participation in AI-Supported Health Care: Qualitative StudyLaura Arbelaez Ossa, Michael Rost, Nathalie Bont, et al.
JMIR AI|April 29, 2025
Correction: Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning-Based Audio Enhancement: Algorithm Development and ValidationJing-Tong Tzeng, Jeng-Lin Li, Huan-Yu Chen, et al.
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