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

Chatbots and Conversational Agents (804) Neurology and Neurosciences (311) Machine Learning (2285) Artificial Intelligence (2432) Neurosurgery (14) Generative Language Models Including ChatGPT (868) AI in Neurotechnology (12)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74299, first published .
Development and Validation of a Large Language Model–Powered Chatbot for Neurosurgery: Mixed Methods Study on Enhancing Perioperative Patient Education

Development and Validation of a Large Language Model–Powered Chatbot for Neurosurgery: Mixed Methods Study on Enhancing Perioperative Patient Education

Development and Validation of a Large Language Model–Powered Chatbot for Neurosurgery: Mixed Methods Study on Enhancing Perioperative Patient Education

Authors of this article:

Chung Man Ho1 Author Orcid Image ;   Shaowei Guan2 Author Orcid Image ;   Prudence Kwan-Lam Mok3 Author Orcid Image ;   Candice HW Lam4 Author Orcid Image ;   Wai Ying Ho1 Author Orcid Image ;   Calvin Hoi-Kwan Mak1 Author Orcid Image ;   Harry Qin5 Author Orcid Image ;   Arkers Kwan Ching Wong6 Author Orcid Image ;   Vivian Hui5, 7 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

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  2. Ruppert-Gomez M, Choi J, Staffa S, Holste K, Xu J, Stratton C, Kocher S, Smith E, See A. Patient perspective on large-language model responses to questions about Moyamoya. Acta Neurochirurgica 2026;168(1) View
  3. Liu B, Jin Z, Zhang Z, Wang H, Wang H, Zhang H, Li C, Qi F, Guo Y. Immersive, Interactive, Intelligent Patient Educational System for Venous Thromboembolism (ChatVTE): Development and Validation Study. JMIR AI 2026;5:e82775 View
  4. Kinachtchouk N, Canes D. Artificial Intelligence in Urologic Documentation: A Review of Emerging Capabilities and the Ongoing Need for Human Oversight. Current Urology Reports 2026;27(1) View