Development of an Interactive Online Course on Artificial Intelligence in Medicine: A Study on Design and Implementation
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 (ORCID: https://orcid.org/0000-0002-0058-155X)
- Richard Noll (ORCID: https://orcid.org/0000-0002-5240-8484)
- Martín Lemos (ORCID: https://orcid.org/0000-0002-0788-2400)
- Jean Tori Pantel (ORCID: https://orcid.org/0000-0002-2674-4660)
- Magdalena T. Weber
Institutions
- Goethe University Frankfurt (DE)
- RWTH Aachen University (DE)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2025-04-08
- DOI
- https://doi.org/10.3233/shti250142
- Citations
- 2
- Primary Topic
- FinTech, Crowdfunding, Digital Finance
- Type
- article
- Field-Weighted Citation Impact
- 9.39