Download program here

Learning goals:

After the workshop, participants will be able to:

  • Discuss differences between supervised and unsupervised learning
  • Evaluate main steps for designing and building an AI algorithm in order to assess algorithmic bias
  • Identify uncertainty in the medical decision process
  • Discuss potentials and current limitations of AI for medical decision support in clinical practice.

Dates:            Friday, 24th June 2022 & Saturday 25th June 2022

Location:        TranslaTUM, Munich & online

Scientific program:

Friday, 24 June 2022

13:00 – 13:15Welcome & Introduction
13:15 – 14:00AI-based classification in Medical ImagingDaniel Truhn
14:00 – 14:45Using AI on Clinical Data: Best Practice and Important PitfallsFlorian Hinterwimmer
Break
15:15 – 16:00Explainable AIMauricio Reyes
16:00 – 16:45AI-based Medical Decision Support in PathologyPeter Schüffler
16:45 – 17:30Anomaly Detection in NeuroradiologyBenedikt Wiestler
Break
18:00 – 18:45Keynote: Safety nets for clinical deployment of medical imaging AIBen Glocker
18:45 – 20:00Social Event @TranslaTUM

Saturday, 25 June 2022

09:00 – 09:45Algorithmic Bias: what it is and why it is importantChristoph Haarburger
09:45 – 10:30Clinical evaluation of Medical Decision Support in NeuroradiologyDennis Hedderich
Break
11:00 –
11:45
AI in OphthalmologyHrvoje Bogunovic
11:45 – 12:30Privacy-preserving and federated learning approachesGeorgios Kaissis
Break
13:30 – 14:15AI in DermatologyAlexander Zink
14:15 – 15:00AI in Lung ImagingJohannes Rückel