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

Artificial Intelligence (AI) in Medical Education (78) e-Learning and Medical Education (691) Health Informatics Education and Training (53) Artificial Intelligence (1371) Chatbots and Conversational Agents (531)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53466, first published .
Developing Medical Education Curriculum Reform Strategies to Address the Impact of Generative AI: Qualitative Study

Developing Medical Education Curriculum Reform Strategies to Address the Impact of Generative AI: Qualitative Study

Developing Medical Education Curriculum Reform Strategies to Address the Impact of Generative AI: Qualitative Study

Authors of this article:

Ikuo Shimizu1 Author Orcid Image ;   Hajime Kasai1 Author Orcid Image ;   Kiyoshi Shikino2, 3 Author Orcid Image ;   Nobuyuki Araki1 Author Orcid Image ;   Zaiya Takahashi1 Author Orcid Image ;   Misaki Onodera1 Author Orcid Image ;   Yasuhiko Kimura2 Author Orcid Image ;   Tomoko Tsukamoto1 Author Orcid Image ;   Kazuyo Yamauchi2, 3 Author Orcid Image ;   Mayumi Asahina2 Author Orcid Image ;   Shoichi Ito1, 2 Author Orcid Image ;   Eiryo Kawakami4 Author Orcid Image
Article Authors Cited by (10) Tweetations (5) Metrics

Journals

  1. Shaheen M, Basudan A, Almubarak A, Alzawawi A, Al-Ahmari F, Aldulaijan H, Almoharib H, Ashri N. Dental Students’ Perceptions Towards E-learning in Comparison With Traditional Classroom Learning. Cureus 2023 View
  2. Takahashi H, Shikino K, Kondo T, Komori A, Yamada Y, Saita M, Naito T. Educational Utility of Clinical Vignettes Generated in Japanese by ChatGPT-4: Mixed Methods Study. JMIR Medical Education 2024;10:e59133 View
  3. Anica-Popa I, Vrîncianu M, Anica-Popa L, Cișmașu I, Tudor C. Framework for Integrating Generative AI in Developing Competencies for Accounting and Audit Professionals. Electronics 2024;13(13):2621 View
  4. Zhu J, Afghani B. A virtual near-peer mentorship research program focused on healthcare disparities in the United States of America. Cogent Education 2024;11(1) View
  5. Yamamoto A, Koda M, Ogawa H, Miyoshi T, Maeda Y, Otsuka F, Ino H. Enhancing Medical Interview Skills Through AI-Simulated Patient Interactions: Nonrandomized Controlled Trial. JMIR Medical Education 2024;10:e58753 View
  6. Luong J, Tzang C, McWatt S, Brassett C, Stearns D, Sagoo M, Kunzel C, Sakurai T, Chien C, Noel G, Wu A. Exploring Artificial Intelligence Readiness in Medical Students: Analysis of a Global Survey. Medical Science Educator 2024 View
  7. Batista J, Mesquita A, Carnaz G. Generative AI and Higher Education: Trends, Challenges, and Future Directions from a Systematic Literature Review. Information 2024;15(11):676 View
  8. Li W, Shi H, Chen X, Lan J, Rehman A, Ge M, Shen L, Hu F, Jia Y, Li X, Chen H. Application of artificial intelligence in medical education: A meta-ethnographic synthesis. Medical Teacher 2024:1 View
  9. Onoue T, Asada Y, Imafuku R, Kou S, Takami H, Takahashi Y, Nomura O, Saiki T. Developing competencies relating to information science and technology in Japanese undergraduate medical education. Medical Teacher 2024;46(sup1) View

Books/Policy Documents

  1. Tariq M. Impacts of Generative AI on Creativity in Higher Education. View