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This paper is in the following e-collection/theme issue:

Applications of AI (398) Clinical Information and Decision Making (2173) Surgery, Trauma and Surgical Sciences (234) Natural Language Processing (1003) Orthopedics (119) Chatbots and Conversational Agents (818) Generative Language Models Including ChatGPT (907)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75262, first published .
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Development and Evaluation of a Retrieval-Augmented Generation Chatbot for Orthopedic and Trauma Surgery Patient Education: Mixed-Methods Study

Development and Evaluation of a Retrieval-Augmented Generation Chatbot for Orthopedic and Trauma Surgery Patient Education: Mixed-Methods Study

Authors of this article:

David Baur1 Author Orcid Image ;   Jörg Ansorg2 Author Orcid Image ;   Christoph-Eckhard Heyde1 Author Orcid Image ;   Anna Voelker1 Author Orcid Image
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  2. Olszewski R, Brzeziński J, Watros K, Rysz J. Quantifying Readability in Chatbot-Generated Medical Texts Using Classical Linguistic Indices: A Review. Applied Sciences 2026;16(3):1423 View
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  5. Košprdić M, Ljajić A, Bašaragin B, Medvecki D, Cassano L, Milošević N. VerifAI: A Verifiable Open-Source Search Engine for Biomedical Question Answering. IEEE Access 2026;14:45129 View
  6. Srinivasan S, Baskaran R, Mukhopadhyay S, Patel M. Assessing Quality, Readability, and Transparency of Online and Artificial Intelligence-Generated Information on Type 2 Diabetes Mellitus: A Cross-Sectional Exploratory Study (Preprint). JMIR Diabetes 2026 View

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