Development of an Interactive Online Course on Artificial Intelligence in Medicine: A Study on Design and Implementation.

Journal: Studies in health technology and informatics
PMID:

Abstract

As artificial intelligence (AI) becomes increasingly influential in healthcare, there is a pressing need for medical professionals to gain a comprehensive understanding of its applications, particularly in complex areas such as rare diseases, where diagnostic challenges are significant. To address this knowledge gap, we are developing an interactive online course, Artificial Intelligence for Rare Diseases, hosted on "KI Campus", a German learning platform for AI. The course combines interactive videos, case-based learning, and self-assessment tools to engage medical professionals, data scientists, and students. This paper outlines the course's design and the challenges of making complex AI concepts accessible. The modular format and multimodal tools ensure effective learning across varied expertise levels.

Authors

  • Jannik Schaaf
    Institute of Medical Informatics, University Medicine Frankfurt, Goethe University Frankfurt, Frankfurt 60590, Germany.
  • Magdalena Weber
    Goethe University Frankfurt, University Medicine, Institute of Medical Informatics, Frankfurt, Germany.
  • Jean Tori Pantel
    Institute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
  • Martin Lemos
    Audiovisual Media Center of the Medical Faculty RWTH Aachen University, Aachen, Germany.
  • Richard Noll
    Institute of Medical Informatics, University Medicine Frankfurt, Goethe University Frankfurt, Frankfurt 60590, Germany.