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

Viewpoints on Innovations in Cancer Care and Research (21) Chatbots and Conversational Agents (740) Patient Education for Cancer (227) New Methods and Approaches in Medical Education (373) Artificial Intelligence (AI) in Medical Education (182)

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 (15) 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
  4. Jung J, Kim D, Lee K, Lee Y. Performance Evaluation of Large Language Model Chatbots for Radiation Therapy Education. Information 2025;16(7):521 View
  5. Urda-Cîmpean A, Leucuța D, Drugan C, Duțu A, Călinici T, Drugan T. Assessing the Accuracy of Diagnostic Capabilities of Large Language Models. Diagnostics 2025;15(13):1657 View
  6. Chow J, Li K. Large Language Models in Medical Chatbots: Opportunities, Challenges, and the Need to Address AI Risks. Information 2025;16(7):549 View
  7. Lu F, Chia S. Effects of Identity Cues and Communication Channels in Social Networking Sites Campaign Chatbots on User Perceptions and Behavior Intentions. International Journal of Human–Computer Interaction 2025:1 View
  8. Tsai C, Lin Y, Hou J, Tsai S, Yeh P, Kao C. Optimizing patient education for radioactive iodine therapy and the role of ChatGPT incorporating chain-of-thought technique: ChatGPT questionnaire. DIGITAL HEALTH 2025;11 View
  9. Cheng Y, Zhu L. A review of ChatGPT in medical education: exploring advantages and limitations. International Journal of Surgery 2025;111(7):4586 View
  10. Mortazavi A, Taheran F, Amiri D. Behind Chatbot Dialogues: The Power of Message Length Similarity and Its Effect on Attitudes Toward Chatbot. International Journal of Human–Computer Interaction 2025:1 View
  11. Romanyukha A, Mazloumi M, Waelheyns T, Mishra N, Jacobs J, Fitousi N. Development of a context-aware integrated training module based on large language models for continuous education in radiation protection. Physica Medica 2025;137:105090 View
  12. Tilton A, Caplan B, Cole B. Generative AI in consumer health: leveraging large language models for health literacy and clinical safety with a digital health framework. Frontiers in Digital Health 2025;7 View
  13. Boit S, Patil R. A Prompt Engineering Framework for Large Language Model–Based Mental Health Chatbots: Conceptual Framework. JMIR Mental Health 2025;12:e75078 View
  14. Jung J, Lee K, Kim D, Lee Y. Performance Comparison of Knowledge Sources Types and Embedding Models in a RAG-based Educational Chatbots for Radiation Therapy. Journal of Radiological Science and Technology 2025;48(4):405 View
  15. Khairat S, Mehraby H, Masoumi S, Coffel M, Rockey-Bartlett C, Huang A, Wood W, Basch E. Evaluation of Cancer Survivors’ Experience of Using AI-Based Conversational Tools: Qualitative Study. JMIR Cancer 2025;11:e77390 View