AI is at the forefront of medicine. Not only does AI make clinical medicine more efficient by accelerating workflows; it also renders medicine more effective by better addressing the patient’s needs. However, while there is an increasing acceptance of the relevance of AI in medical practice, most practicing physicians are under-informed about the benefits and limitations of modern AI applications. This gap, arising from a lack of education, is unsurprising given the recent acceleration of innovation in AI.

As a consequence, key decision-makers and front-line physicians are left in an uncertain situation regarding new technologies. This in turn appears to lead to reluctance and resistance in adoption. Therefore, we aim to foster understanding of AI-driven technologies with this educational program. 

Module 1: AI Fundamentals (45 min) 

• History of AI (15’) | Christian Rummel 
• AI basic concepts (15’) |  Richard McKinley 
• AI models (15’) | Matthias Lenga 

Module 2: Developing and validating AI (45 min) 

• Introduction to training models (15’) |  Richard McKinley
• Introduction to validation (15’) | Christian Rummel 
• Introduction to data in healthcare (15’) | Ankur Sharma

• State-of-the-art AI models and clinical pain points (15’) | Roland Wiest
• Implementation of AI in clinical settings (15’) | Juan Gutiérrez 

Module 4: Approaching AI (45 min) 

• Clinical use cases for AI (15’) | Roland Wiest
• Benchmarking AI (15’) | Joana Reis
• Health Economics and AI (15’) | Franziska Lobig 

Module 5: Governance of AI and Ethical Challenges (45 min) 

• Data privacy and AI (15’) | Hardikkumar Desai 
• Regulatory framework for AI (15’) | Egbert Hovenkamp 
• Ethical considerations of AI in HC (15’) | Rouven Porz