Development of an Interactive Online Course on Artificial Intelligence in Medicine: A Study on Design and Implementation
Studies in health technology and informatics, vol. 323, pp. 506–510
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 5
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Affiliation as printed
Goethe University Frankfurt, University Medicine, Institute of Medical Informatics, Frankfurt, Germany
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Affiliation as printed
Goethe University Frankfurt, University Medicine, Institute of Medical Informatics, Frankfurt, Germany
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Jean Tori Pantel Aachen Center for Rare Diseases Aachen (ZSEA) Medical Faculty Institute for Digitalization and General Medicine Medical Faculty
Affiliation as printed
Center for Rare Diseases Aachen (ZSEA) Medical Faculty, RWTH Aachen University, Aachen, Germany
Institute for Digitalization and General Medicine Medical Faculty, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Audiovisual Media Center of the Medical Faculty RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Goethe University Frankfurt, University Medicine, Institute of Medical Informatics, Frankfurt, Germany
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