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

Viewpoints on Innovations in Cancer Care and Research (16) Chatbots and Conversational Agents (637) Patient Education for Cancer (192) New Methods and Approaches in Medical Education (314) Artificial Intelligence (AI) in Medical Education (126)

Published on in Vol 11 (2025)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66633, first published .
Developing Effective Frameworks for Large Language Model–Based Medical Chatbots: Insights From Radiotherapy Education With ChatGPT

Developing Effective Frameworks for Large Language Model–Based Medical Chatbots: Insights From Radiotherapy Education With ChatGPT

Developing Effective Frameworks for Large Language Model–Based Medical Chatbots: Insights From Radiotherapy Education With ChatGPT

Authors of this article:

James C L Chow1, 2 Author Orcid Image ;   Kay Li3 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Chow J. Quantum Computing and Machine Learning in Medical Decision-Making: A Comprehensive Review. Algorithms 2025;18(3):156 View
  2. van der Vet I, Malkki L. Copilot in service: Exploring the potential of the large language model-based chatbots for fostering evaluation culture in preventing and countering violent extremism. Open Research Europe 2025;5:65 View
  3. Chu B, Modi N, Menz B, Bacchi S, Kichenadasse G, Paterson C, Kovoor J, Ramsey I, Logan J, Wiese M, McKinnon R, Rowland A, Sorich M, Hopkins A. Generative AI’s healthcare professional role creep: a cross-sectional evaluation of publicly accessible, customised health-related GPTs. Frontiers in Public Health 2025;13 View