Applications of AI

Evaluation of Machine Learning Model Performance in Diabetic Foot Ulcer: Retrospective Cohort Study

Veerle Y van Velze, Hendrico L Burger, Tim J van der Steenhoven, Hani Al-Ers, Lauren N Goncalves, Daniël Eefting, Willem-Jan J de Jong, Harm J Smeets, Janna C Specken Welleweerd, Joost R van der Vorst, Sandy Uchtmann, Robert Rissmann, Jaap F Hamming, Lampros Stergioulas, Koen EA van der Bogt

JMIR Med Inform 2025 (Oct 10); 13:e71994

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Use of Automated Machine Learning to Detect Undiagnosed Diabetes in US Adults: Development and Validation Study

Jianxiu Liu, Fred Ssewamala, Ruopeng An, Mengmeng Ji

JMIR AI 2025 (Oct 08); 4:e68260

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Assessing the Capability of Large Language Models for Navigation of the Australian Health Care System: Comparative Study

Joshua Simmich, Megan Heather Ross, Trevor Glen Russell

JMIR AI 2025 (Oct 07); 4:e76203

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Taxonomy Portraits: Deciphering the Hierarchical Relationships of Medical Large Language Models

Radha Nagarajan, Vanessa Klotzman, Midori Kondo, Sandip Godambe, Adam Gold, John Henderson, Steven Martel

JMIR Med Inform 2025 (Oct 07); 13:e72918

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Vision AI-Based Gamified Cognitive Prosthesis for Executive Function: Feasibility and Usability Study

Co Yih Siow, Yao-Hua Yang, Cheng-Jui Tsai, Wan-Wan Yang, Chaur-Jong Hu, Jia-Ying Sung, Jowy Tani

JMIR Serious Games 2025 (Oct 06); 13:e74157

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Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical Deployment Study

Xinbo Ge, Weiwei Chen, Jianshan Shi, Jiaqiang Zhang, Hao Tai, Ying Zhang, Biao Wang, Wei Liu, Song Chen, Huirui Han

J Med Internet Res 2025 (Sep 30); 27:e73840

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Predicting Waiting Times for Medical Tasks in a Pediatric Hospital Using Machine Learning: Comprehensive, Retrospective, Real-World Study

Lin Lin Guo, Rui Tang, Jia Yang Wang, Si Zheng, Yin Zeng, Jun Hou, Mo Chen Dong, Jiao Li, Ying Cui

JMIR Med Inform 2025 (Sep 29); 13:e77297

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Author’s Reply: "Data Contamination in AI Evaluation"

ChulHyoung Park, Min Ho An, Gyubeom Hwang, Rae Woong Park, Juho An

JMIR Med Inform 2025 (Sep 29); 13:e82057

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Data Contamination in AI Evaluation

Alaeddin Acar

JMIR Med Inform 2025 (Sep 29); 13:e80987

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Using Large Language Models to Assess the Consistency of Randomized Controlled Trials on AI Interventions With CONSORT-AI: Cross-Sectional Survey

Xufei Luo, Zeming Li, Zhenhua Yang, Bingyi Wang, Yanfang Ma, Fengxian Chen, Qi Wang, Long Ge, James Zou, Lu Zhang, Yaolong Chen, Zhaoxiang Bian

J Med Internet Res 2025 (Sep 26); 27:e72412

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Preferences of Patients With Tuberculosis for AI-Assisted Remote Health Management: Discrete Choice Experiment

Luo Xu, Qian Fu, Xiaojun Wang

J Med Internet Res 2025 (Sep 26); 27:e77491

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Clinical Performance Evaluation of an Artificial Intelligence–Based Tool for Predicting the Presence of Obstructive Coronary Artery Disease: Protocol for a Cohort Observational Study

Georgios Rampidis, Evangelos Logaras, Athanasios Samaras, Emmanouil S Rigas, Ilias Kyparissidis-Kokkinidis, Styliana Siakopoulou, Panagiotis-Emmanouil Kartsidis, Konstantinos Kouskouras, George Giannakoulas, Panagiotis Bamidis, Antonios Billis

JMIR Res Protoc 2025 (Sep 25); 14:e67697

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Fine-Tuning Methods for Large Language Models in Clinical Medicine by Supervised Fine-Tuning and Direct Preference Optimization: Comparative Evaluation

Thomas Savage, Stephen P Ma, Abdessalem Boukil, Ekanath Rangan, Vishwesh Patel, Ivan Lopez, Jonathan Chen

J Med Internet Res 2025 (Sep 23); 27:e76048

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Developing a Tool for Identifying Clinical Risk From Free-Text Clinical Records: Natural Language Processing Study

Natasha Biscoe, Daniel Leightley, Dominic Murphy

JMIR AI 2025 (Sep 22); 4:e64898

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Knowledge and Perceptions of AI Among Medical Students in Morocco: Cross-Sectional Study

Imad Chakri, Otmane El Khayali, Laila Lahlou

JMIR Form Res 2025 (Sep 19); 9:e66156

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Maturity Framework for Operationalizing Machine Learning Applications in Health Care: Scoping Review

Yutong Li, Julie Tian, Ariana Xu, Russell Greiner, Jake Hayward, Andrew James Greenshaw, Bo Cao

J Med Internet Res 2025 (Sep 19); 27:e66559

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Large Language Model–Supported Identification of Intellectual Disabilities in Clinical Free-Text Summaries: Mixed Methods Study

Aleksandra Edwards, Antonio F Pardiñas, George Kirov, Elliott Rees, Jose Camacho-Collados

JMIR AI 2025 (Sep 18); 4:e72256

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Evaluation of Generative Artificial Intelligence Implementation Impacts in Social and Health Care Language Translation: Mixed Methods Case Study

Miia Martikainen, Kari Smolander, Johan Sanmark, Enni Sanmark

JMIR Form Res 2025 (Sep 17); 9:e73658

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Comparative Diagnostic Performance of a Multimodal Large Language Model Versus a Dedicated Electrocardiogram AI in Detecting Myocardial Infarction From Electrocardiogram Images: Comparative Study

Haemin Lee, Sooyoung Yoo, Joonghee Kim, Youngjin Cho, Dongbum Suh, Keehyuck Lee

JMIR AI 2025 (Sep 17); 4:e75910

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Prompt Engineering in Clinical Practice: Tutorial for Clinicians

Jialin Liu, Fang Liu, Changyu Wang, Siru Liu

J Med Internet Res 2025 (Sep 15); 27:e72644

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