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

New Methods and Approaches in Medical Education (390) Artificial Intelligence (AI) in Medical Education (197) e-Learning and Digital Medical Education (914) Student/Learners Perceptions and Experiences with Educational Technology (117) Chatbots and Conversational Agents (754)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57132, first published .
Utilization of, Perceptions on, and Intention to Use AI Chatbots Among Medical Students in China: National Cross-Sectional Study

Utilization of, Perceptions on, and Intention to Use AI Chatbots Among Medical Students in China: National Cross-Sectional Study

Utilization of, Perceptions on, and Intention to Use AI Chatbots Among Medical Students in China: National Cross-Sectional Study

Authors of this article:

Wenjuan Tao1 Author Orcid Image ;   Jinming Yang2, 3 Author Orcid Image ;   Xing Qu1 Author Orcid Image
Article Authors Cited by (23) Tweetations Metrics

Journals

  1. Ren S, Xu W, Chen Z, Chen J. Digital competency among pediatric healthcare workers and students: a questionnaire survey. World Journal of Pediatrics 2025;21(2):192 View
  2. Öncü S, Torun F, Ülkü H. AI-powered standardised patients: evaluating ChatGPT-4o’s impact on clinical case management in intern physicians. BMC Medical Education 2025;25(1) View
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  5. Yao G, Zhang W, Zhu Y, Wong U, Zhang Y, Yang C, Shen G, Li Z, Gao H. Comparing the accuracy of large language models and prompt engineering in diagnosing realworld cases. International Journal of Medical Informatics 2025;203:106026 View
  6. Lai C, Ho W. Applying the technology acceptance model to examine factors influencing chatbot use in HPV prevention education among nursing students. BMC Nursing 2025;24(1) View
  7. Rafsanjani M, Kamalia P, Ghofur M, Subroto W, Suprapto N, Prahani B, Andari S, Ghofur M, Satriawan M. Understanding the drivers of artificial intelligence (AI) use among students at University. E3S Web of Conferences 2025;640:02016 View
  8. El-Sobkey S, Kelini K, ElKholy M, Abdeldayem T, Abdallah M, Mohamed D, Fawzy A, Ahmed Y, El Khatib A, Khalid H, Shaik B, Anjos A, Alharbi M, Fathy K, Takey K. Acceptance of AI-Powered Chatbots Among Physiotherapy Students: International Cross-Sectional Study. JMIR Medical Education 2025;11:e76574 View
  9. Mukhamedkarimova D, Umurkulova M. Factors Contributing to Higher Education Students' Acceptance of Artificial Intelligence: A Systematic Review. European Journal of Educational Research 2025;14(4):1373 View
  10. Tajima H, Kasai H, Shikino K, Shimizu I, Ito S. Perceptions and Intentions to Use Generative AI Among First-Year Medical Students in Japan: Cross-Sectional Survey Study. JMIR Medical Education 2025;11:e77552 View
  11. Hettige S, Solangaarahchi I, Ediriweera D. Applying UTAUT to understand medical students’ Wi-Fi adoption for learning in Sri Lankan hostel settings. Discover Education 2025;4(1) View
  12. Paltsoglou V, Zafiropoulos K. Investigating the Factors Influencing Teachers’ Intention to Use Chatbots in Primary Education in Greece. Open Education Studies 2025;7(1) View
  13. De Vera A, Quinto E, Elizaga L. Understanding Behavioral Intention of Filipino Adults in Adopting Mental Health Chatbots. Journal of Technology in Human Services 2025:1 View
  14. Luo W, Tang T. A Study on Chinese College Students' Intention to Use Toward AI Chatbots: Integrating Innovation Diffusion Theory and Technology Acceptance Model. European Journal of Education 2026;61(1) View
  15. Shi X, Jiang Z, Xiong L, Siu K, Chen Z. Utilization of AI Among Medical Students and Development of AI Education Platforms in Medical Institutions: Cross-Sectional Study. JMIR Human Factors 2026;13:e81652 View
  16. Zhao X, Liu W, Yue S, Chen J, Xia D, Bing K, Xia X, Wang K. Factors influencing medical students’ adoption of AI educational agents: an extended UTAUT model. BMC Medical Education 2025;25(1) View
  17. Saran A, Kolle S, Maheshwari D, Hinnawi S, Dhoke A, Date M, Saran A. Prevalence & utilisation of AI chatbots for medical education among students of medical colleges. Indian Journal of Medical Research 2025;0:1 View
  18. Fu Y, Yang C, Wang Z, Mu J. Exploring the Determinants of Continuous Participation in Virtual International Design Workshops Mediated by AI-Driven Digital Humans. Information 2025;17(1):24 View
  19. Yang R. Between epistemic empowerment and moral anxiety: Chinese patients’ ambivalence toward AI-assisted diagnosis. Social Science & Medicine 2026;391:118929 View
  20. Škobo M, Šović M. Linguistic and interactive drivers of chatbot acceptance in EMI higher education: A case study of the Tesla chatbot in Serbia. Research in Pedagogy 2025;15(2):375 View
  21. Luo T, Cao S. An Empirical Study on College Students’ Behavioral Intention to Use Generative Artificial Intelligence: An Integrated Model Based on the Innovation Diffusion Theory and Trust Theory. Sage Open 2026;16(1) View
  22. Zheng C, Zhang Y, Luo T, Li F, Qin Z, Xiong S, Zhang J, Lei E, Lu L, Zhang L, Rong H, Chen J. Factors associated with the experience of AI tools for creating health education materials: cross-sectional study using an extended UTAUT model. BMC Medical Education 2026 View

Books/Policy Documents

  1. Patel R, Agrawal S, Rathod D, Prajapati B. Artificial Intelligence in Patient Counselling. View