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JMIR AI|August 4, 2026
Correctness, Harmfulness, and Diversity of Large Language Models for Colonoscopy Preparation Assistance: Comparative Evaluation StudyTomiris Kaumenova, Subhankar Chakraborty, Eric Fosler-Lussier, et al.
JMIR AI|June 26, 2026
Supporting Radiology Resident Education and Clinical Decision-Making With Large Language Models: Comparative Study of Reasoning Models DeepSeek-R1 and ChatGPT-o1Semil Eminovic, Robin Schmidt, Bogdan Levita, et al.
JMIR AI|March 24, 2026
Evaluation of a Retrieval-Augmented Generation Chatbot for Antimicrobial Resistance Research: Comparative Analysis of Large Language ModelsOscar Escudero-Arnanz, Manuel Eduardo Valero-Méndez, Noelia Sánchez-Ramos, et al.
JMIR AI|April 2, 2026
Exploring the Ethical and Practical Considerations of Artificial Intelligence in Real-World Health Care Settings: Stakeholder Focus Group StudyCarmen Wendy Ulizio, Devika Dua, Naya Meenkashi Mukul, et al.
JMIR AI|April 1, 2026
Performance of Large Language Models vs Conventional Machine Learning for Predicting Clinical Outcomes With Limited Data: Comparative StudyErwan Bigan, Stéphane Dufour
JMIR AI|May 6, 2026
Evaluating the Potential Impact of AI on Urinary Tract Infection Diagnosis in the Emergency Department Across Demographic Groups: Retrospective Cohort StudyMark Iscoe, Huan Li, Haipeng Xue, et al.
JMIR AI|April 15, 2026
Augmenting Large Language Model With Prompt Engineering and Supervised Fine-Tuning in Non-Small Cell Lung Cancer Tumor-Node-Metastasis Staging: Framework Development and ValidationRuonan Jin, Chao Ling, Yixuan Hou, et al.
JMIR AI|August 14, 2026
Detecting and Mitigating AI Bias in Health Care: Development and Validation of a Unified Multistage FrameworkRuj Mateedulsatit, Chetneti Srisa-An
JMIR AI|August 19, 2026
Centralized Digital Surveillance for Abdominal Aortic Aneurysm Detection, Longitudinal Tracking, and Management Within an Integrated Health System: Retrospective Cohort StudyEvan J Ryer, Gregory G Salzler, Matthew Goldfarb, et al.
JMIR AI|August 20, 2026
Augmenting Head and Neck Multidisciplinary Tumor Board Recommendations With Locally Run Large Language Models: Prospective Evaluation of Real-World ImplementationChristoph Raphael Buhr, Lukas Müller, Daniel Pinto Dos Santos, et al.
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