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

Applications of AI (317) Chatbots and Conversational Agents (764) Orthopedics (104) Surgery, Trauma and Surgical Sciences (208) Generative Language Models Including ChatGPT (759) Clinical Information and Decision Making (2006) Natural Language Processing (937)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75262, first published .
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

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
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Boltaboyeva A, Baigarayeva Z, Imanbek B, Amangeldy B, Tasmurzayev N, Ozhikenov K, Alimbayeva Z, Alimbayev C, Karymsakova N. Architecting the Orthopedical Clinical AI Pipeline: A Review of Integrating Foundation Models and FHIR for Agentic Clinical Assistants and Digital Twins. Algorithms 2026;19(2):99 View