Clinical Information and Decision Making

Articles published in 2026 in this theme: 230 (scroll down to load remaining articles)

2026

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Histopathological Assessment of Myocardial Ischemia-Reperfusion Injury Using Transformer-Based Artificial Intelligence: Model Comparison Study

Chengnan Liu, Min Xu, Yanxia Lv, Zhenzhong Zhu, Yifan Pan, Yunxiang Wang

JMIR Med Inform 2026 (Jun 04); 14:e80403

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Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation

Songsoo Kim, Seungtae Lee, See Young Lee, Joonho Kim, Keechan Kan, Hyunji Lee, Dukyong Yoon

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

Daina Baublyte, Jeonghee Lee, Madhawa Gunathilake, Jeongseon Kim

JMIR Med Inform 2026 (Jun 04); 14:e78931

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AI-Based Triage Decision Support: Multisite Economic Evaluation in the United States

Scott Levin, Ben Steinhart, Rohit Sangal, Lesley Meng, K Davina Frick, Cabrina McGinn, Jeremiah Hinson, Andrew Taylor

J Med Internet Res 2026 (Jun 03); 28:e95213

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Clinical Note Generation From Doctor-Patient Conversations Using Parameter-Efficient Fine-Tuning Large Language Models: Comparative Study

Saib Ahmed, Farig Yousuf Sadeque

JMIR Med Inform 2026 (Jun 03); 14:e82545

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Clinical Evaluation of the Clinical Reasoning Process of Large Language Models in Nephrology: Comparative Evaluation Study

Yuichiro Yano, Hiroaki Kakizaki, Hajime Nagasu, Seiji Kishi, Takeo Koshida, Yoshihito Nihei, Akira Hirano, Masaomi Nangaku, Hirotake Mori, Toshio Naito, Mizuki Ohashi, Shoichi Maruyama, Isao Matsui, Yoshitaka Isaka, Hirokazu Okada, Yusuke Suzuki, Naoki Kashihara

JMIR Form Res 2026 (Jun 03); 10:e89726

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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

Xu Zhang, An Fang, Pei Lou, Kuanda Yao, Tianci Huang, Jiahui Hu

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

Matheson L McFarlane, Alison Morra, Delanya Podgers, David Barber, Kelsey Ruetz, M Diane Lougheed

JMIR Form Res 2026 (Jun 03); 10:e80399

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Confidence Measurement Metrics in Multimodal Large Language Models for Ultrasound-Based Radiology Cases: Comparative Evaluation Study of Self-Reported, Consistency-Based, and Hybrid Methods

Taewon Han, Jaeseung Shin, Jeong Hyun Lee, Kyowon Gu

J Med Internet Res 2026 (Jun 02); 28:e86498

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Evaluating Nursing Work Systems and Identifying Barriers for Robotic Technology Integration: Observational Study

Gina L Georgadarellis, Ellen Benjamin, Shannon C Roberts, Cidalia J Vital, Frank C Sup IV

J Med Internet Res 2026 (Jun 01); 28:e89409

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Real-World Data Needs Real-World Doctors: When Automation Advances Faster Than Clinical Workflow

Amy Price, Christine Von Raesfeld

J Particip Med 2026 (May 29); 18:e97972

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Clinicians’ Decisions to Screen for Intimate Partner Violence Use and Experience and Observed Impacts: Qualitative Study

Sarah A Walls, Julie D Yeterian, Skye Orazietti, Candice Presseau, Galina A Portnoy

JMIR Form Res 2026 (May 29); 10:e81651

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Machine Learning–Based Prediction Model for 30-Day Emergency Department Revisits in a Medically Underserved Tertiary Hospital: Formative Retrospective Cohort Study

Kyongmin Sun

JMIR Form Res 2026 (May 29); 10:e87289

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Adaptive Fast-Slow Large Language Model Framework for Multidimensional Classification of Prenatal Ultrasound Reports: Comparative Study

Wei Zhong, Huihui Yan, Yifan Liu, Yan Liu, Kai Yang, Huimin Gao, Zhengyang Yao, Wenjing Hao, Yousheng Yan, Chenghong Yin

J Med Internet Res 2026 (May 28); 28:e91399

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Usability and Usefulness of Machine Learning–Based Clinical Decision Support Software in Primary Care: Survey of Users in a Prospective Observational Study

Willem Ernst Herter, Janine Khuc, Tobias N Bonten, Robert A Verheij, Mattijs E Numans, Niels H Chavannes

JMIR Med Inform 2026 (May 27); 14:e80527

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Multimodal GPT-5 for Predicting Poor Functional Outcomes After Intracerebral Hemorrhage in the Emergency Department: Validation Study

Koutarou Matsumoto, Kazuaki Ishihara, Ryota Tamba, Yusuke Fujiyoshi, Koki Tokunaga, Katsuhiko Matsuda, Yasunobu Nohara, Jenhui Chen, Shigeo Yamashiro, Naoki Nakashima, Masahiro Kamouchi

JMIR AI 2026 (May 27); 5:e87062

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When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion

Hina Tahseen

JMIR Ment Health 2026 (May 26); 13:e96894

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Patients’ Perspectives on the Implementation of AI in Radiological Diagnostics: Focus Group Study

Cornelia R Karger

J Med Internet Res 2026 (May 25); 28:e89178

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Prediction of 30-Day All-Cause Hospital Readmissions Using Limited Structured Electronic Health Record Data: Retrospective Comparative Study

Ritam Ghosh, Dariush Khezrimotlagh, Sara Imanpour, Ilya Shvartsman

JMIR Form Res 2026 (May 22); 10:e83918

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Emotion-Adaptive Large Language Model–Driven Clinical Decision Support: User Evaluation of the Empathic Clinical Decision Support System Framework for Trust and Explainability

Tongze Zhang, Sang Won Bae, Tammy Chung, Anind K Dey

JMIR Hum Factors 2026 (May 22); 13:e89005

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