Generative Language Models Including ChatGPT

Large Language Model–Based Chatbots and Agentic AI for Mental Health Counseling: Systematic Review of Methodologies, Evaluation Frameworks, and Ethical Safeguards

Ha Na Cho, Jiayuan Wang, Di Hu, Kai Zheng

JMIR AI 2026 (Mar 13); 5:e80348

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Integrating a Large Language Model to Streamline Nursing Handover Documentation Across Multiple Hospitals in Taiwan: Development and Implementation Study

Ray-Jade Chen, Mai-Szu Wu, Lung-Wen Tsai, Shy-Shin Chang, Shu-Tai Shen Hsiao, Yu-Sheng Lo

J Med Internet Res 2026 (Mar 12); 28:e81604

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Trustworthy AI-Augmented Objective Structured Clinical Examinations in Nursing Education: Taiwan-Japan Viewpoint on 5 AI Roles, Governance, and Cross-Border Implementation

Kazumi Kubota, Ayako Nishimura, Ryoma Seto, Liu Li

JMIR Form Res 2026 (Mar 12); 10:e87830

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Application of a Large Visual Language Model on Tongue Image Description Generation and Physical Constitution Reasoning in Traditional Chinese Medicine (TongueVLM): Model Development and Validation Study

Chengdong Peng, Jun Gao, Nuo Yang, Yong Wang, Renming Chen, Changwu Dong

JMIR Med Inform 2026 (Mar 12); 14:e87237

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Authors’ Reply: Toward Retrieval-Grounded Evaluation for Conversational Large Language Model–Based Risk Assessment

Mohammad Amin Roshani, Xiangyu Zhou, Yao Qiang, Srinivasan Suresh, Steve Hicks, Usha Sethuraman, Dongxiao Zhu

JMIR AI 2026 (Mar 12); 5:e91981

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Toward Retrieval-Grounded Evaluation for Conversational Large Language Model–Based Risk Assessment

Yihan Hu

JMIR AI 2026 (Mar 12); 5:e90759

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AI-Powered Documentation for Mental Health Providers: Retrospective Observational Mixed Methods Study

Kaitlin E McCrudden, Mackenzie S Swirbul, Emily E Peake, Michael J Rodio, Aarthi Padmanabhan

JMIR Form Res 2026 (Mar 12); 10:e84628

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Large Language Model–Based Agents for Physical Activity and Cognitive Training: Scoping Review

Alessandro Silacci, Benedetta Giachetti, Leonardo Angelini, Nicola Francesco Lopomo, Giuseppe Andreoni, Elena Mugellini, Mauro Cherubini, Maurizio Caon

JMIR AI 2026 (Mar 12); 5:e80123

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Artificial Intelligence Models for Predicting Triage in Emergency Departments: Seven-Month Retrospective Comparative Study of Natural Language Processing, Large Language Model, and Joint Embedding Predictive Architectures

Edouard Lansiaux, Ramy Azzouz, Emmanuel Chazard, Amélie Vromant, Eric Wiel

JMIR Med Inform 2026 (Mar 10); 14:e83318

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Development and Evaluation of SNOMED CT Automated Mapping Tool: Advancing Terminology Standardization and Semantic Interoperability

Youngsun Park, Hannah Kang, Jiwon Kim, Soo-Yong Shin, Dosang Cho, Sang Youl Rhee, Hong Seok Park, Kyung-Jae Lee, Sungchul Bae

JMIR Med Inform 2026 (Mar 09); 14:e82670

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Enhancing Detection of Message Intents in a Mobile Health Smoking-Cessation Intervention Using Large Language Model Fine-Tuning, Data Downsampling, and Error Correction: Algorithm Development and Validation

Shagoto Rahman, Cornelia (Connie) Pechmann, Ian G Harris

J Med Internet Res 2026 (Mar 09); 28:e83437

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Perceptions and Attitudes of Medical Students Toward the Integration of Large Language Models in Medical Education: Cross-Sectional Survey in China

Cheng Zhao, Weiqian Yan, Long Wang, Jing Wu, Herve Pasteur Ndikuriyo, Renhe Yu

JMIR Med Educ 2026 (Mar 09); 12:e66381

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Potential Application Value and Needs of Using Generative AI Videos for Health Management for Older Adults: Qualitative Study

Ting Liu, Yiming Taclis Luo, Zhenni He, Patrick Pang, Kin Sun Chan, Ying Lau

JMIR Aging 2026 (Mar 09); 9:e80661

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Knowledge-Guided Explainable Recommendation Tool for Cancer Risk Prediction Models Using Retrieval-Augmented Large Language Models: Development and Validation Study

Shumin Ren, Xin Zheng, Jing Zhao, Jiale Du, Yuxin Zhang, Cheng Bi, Jie Song, Jinyi Zhang, Hongmei Lang, Fan Zhang, Bairong Shen

JMIR Med Inform 2026 (Mar 09); 14:e78519

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Performance of 5 AI Models on United States Medical Licensing Examination Step 1 Questions: Comparative Observational Study

Dania El Natour, Mohamad Abou Alfa, Ahmad Chaaban, Reda Assi, Toufic Dally, Bahaa Bou Dargham

JMIR AI 2026 (Mar 09); 5:e76928

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Comparison of Emotional Content in Text Responses From Physicians and AI Chatbots to Patient Health Queries: Cross-Sectional Study

Daniel T Burns, Channing Bice, Paul E Johnson, Nicholas Chia, Timothy Robinson

J Med Internet Res 2026 (Mar 06); 28:e85516

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Empowering Informal Caregivers of Persons With Early-Stage Dementia by Large Language Models: Mixed Methods Evaluation

Huayu Zhou, Ziwei Zhu, Kyeung Mi Oh, Sungsoo Ray Hong

JMIR Form Res 2026 (Mar 05); 10:e79975

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Performance Evaluation of Large Language Models in Multilingual Medical Multiple-Choice Questions: Mixed Methods Study

Livia Maria Strasser, Wilma Anschuetz, Fabio Dennstädt, Janna Hastings

JMIR Med Educ 2026 (Mar 05); 12:e81399

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Audience-Specific Health Communication: Mixed Methods Evaluation of the Maria Ciência AI-Assisted Knowledge Translation Tool

Mariana Araújo-Pereira, Klauss Villalva-Serra Jr, Gustavo Pires-Ramos, Beatriz Sousa-Peres, Joanã Nascimento Conceição-Oliveira, Sarah Dourado Maiche, Rebeca Rebouças da Cunha Silva, Bruno de Bezerril Andrade

JMIR Infodemiology 2026 (Mar 03); 6:e78843

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Patterns of AI Use in Clinical Work by Hospitalists: Survey Study

Prabhava Bagla, Jasmah Hanna, Bhargav Marthambadi, Stacey Watkins

J Med Internet Res 2026 (Mar 03); 28:e85973

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