Generative Language Models Including ChatGPT

Evaluating the Accuracy of Medical Information Generated by ChatGPT and Gemini and Its Alignment With International Clinical Guidelines From the Surviving Sepsis Campaign: Comparative Study

Dina Kutbi, Ehab Abou-Bakr, Hassan Mousa Haidar

JMIR Form Res 2025 (Dec 17); 9:e84251

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A Multiagent Summarization and Auto-Evaluation Framework for Medical Text: Development and Evaluation Study

Yuhao Chen, Bo Wen, Farhana Zulkernine

JMIR AI 2025 (Dec 16); 4:e75932

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Multiple Large Language Models’ Performance on the Chinese Medical Licensing Examination: Quantitative Comparative Study

Yanyu Diao, Mengyuan Wu, Jingwen Xu, Yifeng Pan

JMIR Hum Factors 2025 (Dec 16); 12:e77978

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Incorporating Generative AI Into a Health Informatics Curriculum to Build 21st Century Competencies: Multisite Pre-Post Study

Freddie Seba, Miriam Isola, Laura Mills, Mohan Zalake, Jacob Krive

JMIR Med Inform 2025 (Dec 16); 13:e76507

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Effectiveness of ChatGPT, Google Gemini, and Microsoft Copilot in Answering Thai Drug Information Queries: Cross-Sectional Study

Suphannika Pornwattanakavee, Nattawut Leelakanok, Teerarat Todsarot, Gabrielle Angele Tatta Guinto, Ratchanon Takun, Assadawut Sumativit, Marisa Senngam

JMIR AI 2025 (Dec 15); 4:e79751

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Large Language Model–Based Patient Simulation to Foster Communication Skills in Health Care Professionals: User-Centered Development and Usability Study

Ahmed Elhilali, Andy Suy-Huor Ngo, Daniel Reichenpfader, Kerstin Denecke

JMIR Med Educ 2025 (Dec 12); 11:e81271

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Observer-Independent Assessment of Content Overlap in Mental Health Questionnaires: Large Language Model–Based Study

Annkathrin Böke, Hannah Hacker, Millennia Chakraborty, Luise Baumeister-Lingens, Jasper Vöckel, Julian Koenig, David HV Vogel, Theresa Katharina Lichtenstein, Kai Vogeley, Lana Kambeitz-Ilankovic, Joseph Kambeitz

JMIR AI 2025 (Dec 11); 4:e79868

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Factors Influencing Adoption of Large Language Models in Health Care: Multicenter Cross-Sectional Mixed Methods Observational Study

Xiongwen Yang, Yi Xiao, Di Liu, Huiyin Deng, Jian Huang, Yubin Zhou, Maoli Liang, Longyan Dong, Zihao Yuan, Jing Yao, Wankai Guo, Chuan Xu

J Med Internet Res 2025 (Dec 11); 27:e84918

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Information Extraction of Doctoral Theses Using Two Different Large Language Models vs Health Services Researchers: Development and Usability Study

Jonas Cittadino, Pia Traulsen, Teresa Schmahl, Larisa Wewetzer, Julia Cummerow, Kristina Flägel, Christoph Strumann, Katja Goetz, Jost Steinhäuser

JMIR Form Res 2025 (Dec 10); 9:e77707

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Trends and Trajectories in the Rise of Large Language Models in Radiology: Scoping Review

Adhari Al Zaabi, Rashid Alshibli, Abdullah AlAmri, Ibrahim AlRuheili, Syaheerah Lebai Lutfi

JMIR Med Inform 2025 (Dec 09); 13:e78041

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AI-Facilitated Cognitive Reappraisal via Socrates 2.0: Mixed Methods Feasibility Study

Philip Held, Sarah A Pridgen, Daniel R Szoke, Yaozhong Chen, Zuhaib Akhtar, Darpan Amin

JMIR Ment Health 2025 (Dec 05); 12:e80461

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Comparing Human and AI Therapists in Behavioral Activation for Depression: Cross-Sectional Questionnaire Study

Inka Napiwotzki, Julian Laue, Flora Caldarone, Maximilian Idahl, Uwe Hadler, Haithem Amrani, Elisabeth Hildt, Kai G Kahl, Wolfgang Nejdl

JMIR Form Res 2025 (Dec 04); 9:e78138

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The Validity of Generative Artificial Intelligence in Evaluating Medical Students in Objective Structured Clinical Examination: Experimental Study

Masashi Yokose, Takanobu Hirosawa, Tetsu Sakamoto, Ren Kawamura, Yudai Suzuki, Yukinori Harada, Taro Shimizu

JMIR Form Res 2025 (Dec 04); 9:e79465

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Evaluating Artificial Intelligence Models in Dermatology: Comparative Analysis

Aneri Bhargav Patel, William Driscoll, Conan H Lee, Cameron Zachary, Nicole M Golbari, Janellen Smith

JMIR Dermatol 2025 (Dec 04); 8:e74040

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Medical Feature Extraction From Clinical Examination Notes: Development and Evaluation of a Two-Phase Large Language Model Framework

Manal Abumelha, Abdullah AL-Malaise AL-Ghamdi, Ayman Fayoumi, Mahmoud Ragab

JMIR Med Inform 2025 (Dec 03); 13:e78432

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Enhancing Large Language Models for Improved Accuracy and Safety in Medical Question Answering: Comparative Study

Dingqiao Wang, Jinguo Ye, Jingni Li, Jiangbo Liang, Qikai Zhang, Qiuling Hu, Caineng Pan, Dongliang Wang, Zhong Liu, Wen Shi, Mengxiang Guo, Fei Li, Wei Du, Ying-Feng Zheng

JMIR Med Educ 2025 (Dec 02); 11:e70190

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Enabling Just-in-Time Clinical Oncology Analysis With Large Language Models: Feasibility and Validation Study Using Unstructured Synthetic Data

Peter May, Julian Greß, Christoph Seidel, Sebastian Sommer, Markus K Schuler, Sina Nokodian, Florian Schröder, Johannes Jung

JMIR Med Inform 2025 (Dec 01); 13:e78332

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A Rule-Based Conversational Agent for Mental Health and Well-Being in Young People: Formative Case Series During the Rise of Generative AI

Aimee-Rose Wrightson-Hester, Gee Anderson, Joel Dunstan, Peter M McEvoy, Christopher J Sutton, Bronwyn Myers, Sarah J Egan, Sara Jane Tai, Melanie Johnston-Hollitt, Wai Chen, Tom Gedeon, Joanna C Moullin, Warren Mansell

JMIR Form Res 2025 (Dec 01); 9:e69841

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Comparison of ChatGPT and DeepSeek on a Standardized Audiologist Qualification Examination in Chinese: Observational Study

Beier Qi, Yan Zheng, Yuanyuan Wang, Li Xu

JMIR Form Res 2025 (Nov 28); 9:e79534

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Seeking Emotional and Mental Health Support From Generative AI: Mixed-Methods Study of ChatGPT User Experiences

Xiaochen Luo, Zixuan Wang, Jacqueline L Tilley, Sanjeev Balarajan, Ukeme-Abasi Bassey, Choi Ieng Cheang

JMIR Ment Health 2025 (Nov 27); 12:e77951

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