T01: Validating AI for Medical Image Analysis (Full Day!)
Dr. Annika Reinke, Dr. Evangelia Christodoulou (Div. Intelligent Medical Systems, German Cancer Research Center (DKFZ))
This tutorial provides an introduction to the validation of AI methods in medical image analysis. Reliable validation is essential to decide whether algorithms are working as intended beyond standard leaderboards, and even whether they have a potential for clinical translation. It ensures that model performance estimates are meaningful, reproducible, and reflecting the underlying research questions. The course introduces key principles and practical techniques for validating AI models. Participants will learn how to select and interpret appropriate performance metrics, quantify model performance uncertainty, and assess the robustness of rankings in algorithm benchmarking. The tutorial combines theoretical lectures with guided hands-on exercises.
Preliminary schedule of the full day:
- 09.00-10.30
- 11.00-12.30
- 13.30-15.00
- 15.30-17.00