Published on in Vol 6, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39443, first published .
Learning the Treatment Process in Radiotherapy Using an Artificial Intelligence–Assisted Chatbot: Development Study

Learning the Treatment Process in Radiotherapy Using an Artificial Intelligence–Assisted Chatbot: Development Study

Learning the Treatment Process in Radiotherapy Using an Artificial Intelligence–Assisted Chatbot: Development Study

Journals

  1. Chow J, Sanders L, Li K. Design of an Educational Chatbot Using Artificial Intelligence in Radiotherapy. AI 2023;4(1):319 View
  2. Chow J, Sanders L, Li K. Impact of ChatGPT on medical chatbots as a disruptive technology. Frontiers in Artificial Intelligence 2023;6 View
  3. Wang A, Qian Z, Briggs L, Cole A, Reis L, Trinh Q. The Use of Chatbots in Oncological Care: A Narrative Review. International Journal of General Medicine 2023;Volume 16:1591 View
  4. Albino de Queiroz D, Silva Passarello R, Veloso de Moura Fé V, Rossini A, Folchini da Silveira E, Aparecida Isquierdo Fonseca de Queiroz E, André da Costa C. A wearable chatbot-based model for monitoring colorectal cancer patients in the active phase of treatment. Healthcare Analytics 2023;4:100257 View
  5. Chow J, Wong V, Sanders L, Li K. Developing an AI-Assisted Educational Chatbot for Radiotherapy Using the IBM Watson Assistant Platform. Healthcare 2023;11(17):2417 View
  6. Wong R, Ming L, Raja Ali R. The Intersection of ChatGPT, Clinical Medicine, and Medical Education. JMIR Medical Education 2023;9:e47274 View
  7. Kawamura M, Kamomae T, Yanagawa M, Kamagata K, Fujita S, Ueda D, Matsui Y, Fushimi Y, Fujioka T, Nozaki T, Yamada A, Hirata K, Ito R, Fujima N, Tatsugami F, Nakaura T, Tsuboyama T, Naganawa S. Revolutionizing radiation therapy: the role of AI in clinical practice. Journal of Radiation Research 2024;65(1):1 View
  8. Yan S, Du D, Liu X, Dai Y, Kim M, Zhou X, Wang L, Zhang L, Jiang X. Assessment of the Reliability and Clinical Applicability of ChatGPT’s Responses to Patients’ Common Queries About Rosacea. Patient Preference and Adherence 2024;Volume 18:249 View
  9. Kang K, Kim S, Oh B, Kim Y. Development of a chatbot for school violence prevention among elementary school students in South Korea: a methodological study. Child Health Nursing Research 2024;30(1):45 View
  10. Mu Y, He D. The Potential Applications and Challenges of ChatGPT in the Medical Field. International Journal of General Medicine 2024;Volume 17:817 View
  11. Hauptmann C, Krenzer A, Völkel J, Puppe F. Argumentation effect of a chatbot for ethical discussions about autonomous AI scenarios. Knowledge and Information Systems 2024;66(6):3607 View
  12. Lahat A, Sharif K, Zoabi N, Shneor Patt Y, Sharif Y, Fisher L, Shani U, Arow M, Levin R, Klang E. Assessing Generative Pretrained Transformers (GPT) in Clinical Decision-Making: Comparative Analysis of GPT-3.5 and GPT-4. Journal of Medical Internet Research 2024;26:e54571 View
  13. Hindelang M, Sitaru S, Zink A. Transforming Health Care Through Chatbots for Medical History-Taking and Future Directions: Comprehensive Systematic Review. JMIR Medical Informatics 2024;12:e56628 View
  14. Kadoya N, Arai K, Tanaka S, Kimura Y, Tozuka R, Yasui K, Hayashi N, Katsuta Y, Takahashi H, Inoue K, Jingu K. Assessing knowledge about medical physics in language-generative AI with large language model: using the medical physicist exam. Radiological Physics and Technology 2024 View
  15. Chow J, Li K. Ethical Considerations in Human-Centered AI: Advancing Oncology Chatbots Through Large Language Models. JMIR Bioinformatics and Biotechnology 2024;5:e64406 View

Books/Policy Documents

  1. Felipe Mares Silva D, Huerta Barrientos A. Chatbots - The AI-Driven Front-Line Services for Customers. View