Ambient AI Scribes and AI-Driven Documentation Technologies

Development and Validation of a Large Language Model–Based System for Medical History-Taking Training: Prospective Multicase Study on Evaluation Stability, Human-AI Consistency, and Transparency

Yang Liu, Chujun Shi, Liping Wu, Xiule Lin, Xiaoqin Chen, Yiying Zhu, Haizhu Tan, Weishan Zhang

JMIR Med Educ 2025 (Aug 29); 11:e73419

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Health Care Professionals’ Experiences and Opinions About Generative AI and Ambient Scribes in Clinical Documentation: Protocol for a Scoping Review

Carolina Garcia Sanchez, Anna Kharko, Maria Hägglund, Sara Riggare, Charlotte Blease

JMIR Res Protoc 2025 (Aug 08); 14:e73602

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AI Scribes in Health Care: Balancing Transformative Potential With Responsible Integration

Tiffany I Leung, Andrew J Coristine, Arriel Benis

JMIR Med Inform 2025 (Aug 01); 13:e80898

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Language Models for Multilabel Document Classification of Surgical Concepts in Exploratory Laparotomy Operative Notes: Algorithm Development Study

Jeremy A Balch, Sasank S Desaraju, Victoria J Nolan, Divya Vellanki, Timothy R Buchanan, Lindsey M Brinkley, Yordan Penev, Ahmet Bilgili, Aashay Patel, Corinne E Chatham, David M Vanderbilt, Rayon Uddin, Azra Bihorac, Philip Efron, Tyler J Loftus, Protiva Rahman, Benjamin Shickel

JMIR Med Inform 2025 (Jul 09); 13:e71176

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Toward Cross-Hospital Deployment of Natural Language Processing Systems: Model Development and Validation of Fine-Tuned Large Language Models for Disease Name Recognition in Japanese

Seiji Shimizu, Tomohiro Nishiyama, Hiroyuki Nagai, Shoko Wakamiya, Eiji Aramaki

JMIR Med Inform 2025 (Jul 08); 13:e76773

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Accuracy and Safety of AI-Enabled Scribe Technology: Instrument Validation Study

Joshua Biro, Jessica L Handley, Nathan K Cobb, Varsha Kottamasu, Jeffrey Collins, Seth Krevat, Raj M Ratwani

J Med Internet Res 2025 (Jan 27); 27:e64993

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