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

Area of Science:

• Medical Informatics
• Artificial Intelligence in Healthcare
• Rare Disease Research

Background:

• Growing influence of artificial intelligence (AI) in healthcare necessitates medical professional training.
• Significant diagnostic challenges in rare diseases highlight the need for advanced tools and knowledge.
• Existing knowledge gaps hinder the effective application of AI in rare disease contexts.

Purpose of the Study:

• To develop and outline an interactive online course focused on Artificial Intelligence for Rare Diseases.
• To address the need for accessible AI education among medical professionals, data scientists, and students.
• To present the design and pedagogical challenges of making complex AI concepts understandable.

Main Methods:

• Development of an interactive online course hosted on the KI Campus platform.
• Integration of multimodal learning tools including interactive videos, case-based learning, and self-assessment.
• Modular course design catering to diverse levels of expertise.

Main Results:

• The course is designed with a modular format and multimodal tools for effective learning.
• It aims to engage a diverse audience, including medical professionals, data scientists, and students.
• Challenges in simplifying complex AI concepts for a broad audience have been considered in the design.

Conclusions:

• The developed online course provides a structured approach to AI education for rare diseases.
• Effective learning across varied expertise levels is facilitated through modularity and multimodal tools.
• This initiative aims to enhance the application of AI in addressing rare disease diagnostic challenges.