AI Language Models in Health Care

New Doc on the Block: Scoping Review of AI Systems Delivering Motivational Interviewing for Health Behavior Change

Zev Karve, Jacob Calpey, Christopher Machado, Michelle Knecht, Maria Carmenza Mejia

J Med Internet Res 2025 (Sep 16); 27:e78417

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Viewpoint on the Intersection Among Health Information, Misinformation, and Generative AI Technologies

António Bandeira, Luis Henrique Gonçalves, Felix Holl, Juliet Ugbedeojo Shaibu, Mariana Laranjo Gonçalves, Ronan Payinda, Sagun Paudel, Alessandro Berionni, Young WFPHA, Tina D Purnat, Tim Mackey

JMIR Infodemiology 2025 (Sep 15); 5:e69474

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Interdisciplinary Development and Fine-Tuning of CARDIO, a Large Language Model for Cardiovascular Health Education in HIV Care: Tutorial

Ryan Rullo, Ali Maatouk, Tinglin Huang, Jialin Chen, Weikang Qiu, Giselle O'Connor, Julie Womack, Tatiana Sadak, Christine Rodriguez, Pedro Carneiro, Tania de Jesus Espinosa, Ami Marshall, Rex Ying, S Raquel Ramos

J Med Internet Res 2025 (Sep 12); 27:e77053

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Applications of Federated Large Language Model for Adverse Drug Reactions Prediction: Scoping Review

David Guo, Kim-Kwang Raymond Choo

J Med Internet Res 2025 (Sep 08); 27:e68291

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Automated Literature Screening for Hepatocellular Carcinoma Treatment Through Integration of 3 Large Language Models: Methodological Study

Chen Pan, Wei Lu, Bingliang Chen, Gang Zhang, Zhiming Yang, Jingcheng Hao

JMIR Med Inform 2025 (Sep 08); 13:e76252

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Extracting Clinical Guideline Information Using Two Large Language Models: Evaluation Study

Hsing-Yu Hsu, Lu-Wen Chen, Wan-Tseng Hsu, Yow-Wen Hsieh, Shih-Sheng Chang

J Med Internet Res 2025 (Sep 05); 27:e73486

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Nurses’ Intention to Integrate AI Into Their Practice: Survey Study in Canada

Guy Pare, Louis Raymond, Faustin Armel Etindele Sosso

JMIR Nursing 2025 (Sep 05); 8:e76795

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Large Language Models in Randomized Controlled Trials Design: Observational Study

Liyuan Jin, Jasmine Chiat Ling Ong, Kabilan Elangovan, Yuhe Ke, Alexandra Pyle, Daniel Shu Wei Ting, Nan Liu

J Med Internet Res 2025 (Sep 03); 27:e67469

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Token Probabilities to Mitigate Large Language Models Overconfidence in Answering Medical Questions: Quantitative Study

Raphaël Bentegeac, Bastien Le Guellec, Grégory Kuchcinski, Philippe Amouyel, Aghiles Hamroun

J Med Internet Res 2025 (Aug 29); 27:e64348

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Rapidly Benchmarking Large Language Models for Diagnosing Comorbid Patients: Comparative Study Leveraging the LLM-as-a-Judge Method

Peter Sarvari, Zaid Al-fagih

JMIRx Med 2025 (Aug 29); 6:e67661

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Development of a Large-Scale Dataset of Chest Computed Tomography Reports in Japanese and a High-Performance Finding Classification Model: Dataset Development and Validation Study

Yosuke Yamagishi, Yuta Nakamura, Tomohiro Kikuchi, Yuki Sonoda, Hiroshi Hirakawa, Shintaro Kano, Satoshi Nakamura, Shouhei Hanaoka, Takeharu Yoshikawa, Osamu Abe

JMIR Med Inform 2025 (Aug 28); 13:e71137

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Evaluating the Quality and Understandability of Radiology Report Summaries Generated by ChatGPT: Survey Study

Alexis Sunshine, Grace H Honce, Andrew L Callen, David A Zander, Jody L Tanabe, Samantha L Pisani Petrucci, Chen-Tan Lin, Justin M Honce

JMIR Form Res 2025 (Aug 27); 9:e76097

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Identification and Categorization of the Top 100 Articles and the Future of Large Language Models: Thematic Analysis Using Bibliometric Analysis

Ethan Bernstein, Anya Ramsamooj, Kelsey L Millar, Zachary C Lum

JMIR AI 2025 (Aug 27); 4:e68603

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Physician Use of Large Language Models: A Quantitative Study Based on Large-Scale Query-Level Data

Lin Qiu, Chuang Tang, Xuan Bi, Gordon Burtch, Yanmin Chen, Heping Zhang

J Med Internet Res 2025 (Aug 25); 27:e76941

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Understanding the Impact of AI Doctors’ Information Quality on Patients’ Intentions to Adopt AI for Independent Diagnosis: Scenario-Based Experimental Study

Yongmei Liu, Zichun Wang, Bo Peng

J Med Internet Res 2025 (Aug 19); 27:e62885

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AI and Machine Learning Terminology in Medicine, Psychology, and Social Sciences: Tutorial and Practical Recommendations

Bo Cao, Russell Greiner, Andrew Greenshaw, Jie Sui

J Med Internet Res 2025 (Aug 18); 27:e66100

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Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation Study

Hongbo Chen, Myrtede Alfred, Eldan Cohen

JMIR Med Inform 2025 (Aug 18); 13:e68955

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Application of Large Language Models in Complex Clinical Cases: Cross-Sectional Evaluation Study

Yuanheng Huang, Guozhen Yang, Yahui Shen, Huiguo Chen, Weibin Wu, Xiaojun Li, Yonghui Wu, Kai Zhang, Jiannan Xu, Jian Zhang

JMIR Med Inform 2025 (Aug 14); 13:e73941

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Early Diagnosis of Knee Osteoarthritis With a Natural Language Processing–Driven Approach Based on Clinician Notes: Development and Validation Study

Narathip Thanyakunsajja, Kulsawasd Jitkajornwanich, Shan Xu, Donghee Shin, Pattama Charoenporn

JMIR Form Res 2025 (Aug 14); 9:e64536

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Assessing ChatGPT’s Educational Potential in Lung Cancer Radiotherapy From Clinician and Patient Perspectives: Content Quality and Readability Analysis

Cedric Richlitzki, Sina Mansoorian, Lukas Käsmann, Mircea Gabriel Stoleriu, Julia Kovacs, Wulf Sienel, Diego Kauffmann-Guerrero, Thomas Duell, Nina Sophie Schmidt-Hegemann, Claus Belka, Stefanie Corradini, Chukwuka Eze

JMIR Cancer 2025 (Aug 13); 11:e69783

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