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

Journal: JMIR medical education
Published Date:

Abstract

BACKGROUND: Artificial intelligence (AI) systems are becoming increasingly relevant in everyday clinical practice, with Food and Drug Administration-approved AI solutions now available in many specialties. This development has far-reaching implications for doctors and the future medical profession, highlighting the need for both practicing physicians and medical students to acquire the knowledge, skills, and attitudes necessary to effectively use and evaluate these technologies. Currently, however, there is limited experience with AI-focused curricular training and continuing education.

Authors

  • Zoe S Oftring
    Institute for Digital Medicine, Philipps University Marburg and University Clinic Giessen & Marburg, Baldingerstrasse 1, Marburg, 35042, Germany, 49 (0)6421 ext 58.
  • Kim Deutsch
    Institute of Educational Science, Johannes Gutenberg University, Mainz, Germany.
  • Daniel Tolks
    Leuphana University Lüneburg, Centre for Applied Health Promotion, Lüneburg, Germany.
  • Florian Jungmann
    Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Germany. Electronic address: florian.jungmann@unimedizin-mainz.de.
  • Sebastian Kuhn
    Institute for Digital Medicine Philipps-University Marburg and University Hospital of Giessen and Marburg, Marburg, Germany.