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

Artificial Intelligence (AI) in Medical Education (182) Health Informatics Education and Training (81) e-Learning and Digital Medical Education (902) mHealth in Medical Education and Training (121) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (186) New Methods and Approaches in Medical Education (374) Blended Learning (16)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65220, first published .
Novel Blended Learning on Artificial Intelligence for Medical Students: Qualitative Interview Study

Novel Blended Learning on Artificial Intelligence for Medical Students: Qualitative Interview Study

Novel Blended Learning on Artificial Intelligence for Medical Students: Qualitative Interview Study

Authors of this article:

Zoe S Oftring1, 2 Author Orcid Image ;   Kim Deutsch3 Author Orcid Image ;   Daniel Tolks4, 5 Author Orcid Image ;   Florian Jungmann6 Author Orcid Image ;   Sebastian Kuhn1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Tappeiner C. Artificial Intelligence in Ophthalmology: Acceptance, Clinical Integration, and Educational Needs in Switzerland. Journal of Clinical Medicine 2025;14(17):6307 View
  2. Fußhöller A, Lechner F, Schlicker N, Muehlensiepen F, Mayr A, Kuhn S, Hirsch M, Knitza J. Perceptions, Usage, and Educational Impact of ChatGPT Among Medical Students in Germany: Cross-Sectional Mixed Methods Survey. JMIR Formative Research 2025;9:e81484 View