Program

We have an action packed Friday the 24th with technical, clinical, and industry speakers who will share their perspectives on what interpretability in AI means to them. We will also have two young researchers share their work and showcase what could be coming next! Finally, we will have everyone sit together in a panel discussion.

#I0		Kuppelraum

9:00		Live Opening and Registration Amith Kamath, Yannick Suter
		Live Opening and Registration Amith Kamath, Yannick Suter
		Live Introduction and Welcome Amith Kamath, Yannick Suter
		Live Machine learning interpretability - Road to mastery - Tutorial Mara Graziani
10:00

		Live Keynote - The need for interpretability in clinical decision support Henning Müller

11:00

		Live Explainable AI (XAI) for medical applications with MATLAB Christine Bolliger, Res Joehr

12:00



13:00		Live Poster Session I Amith Kamath, Yannick Suter



14:00
		Live Keynote - The day 2 problem for medical imaging AI Matt Lungren

		Live Poster Session II Amith Kamath, Yannick Suter
15:00


		Live Keynote - Practicing Safe Rx, The importance of intelligible machine learning in healthcare Rich Caruana
16:00


		Live Panel Discussion Mara Graziani, Rich Caruana, Mo Anas, Lisa Koch, Mauricio Reyes Industry Student
17:00
		Live Closing, Awards, Networking and Apero Amith Kamath, Mauricio Reyes, Yannick Suter

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Information

Keynotes

Industry

Student

Panel