AI Symposium 2022:
Imaging AI in the Wild: How to Handle Data Heterogeneity

sitem-insel School & University of Bern | 13 September 2022

AI Symposium 2022

On-line only. The session will be recorded.

 

We are happy to announce the AI Symposium 2022: "Imaging AI in the Wild: How to Handle Data Heterogeneity". Join us online on 13th October 2022.

  • Public event on Artificial Intelligence in Medical Imaging program 2022

  • Leading international experts in AI 

In an increasingly technological world, understanding the principles and extensive potential of Artificial Intelligence in diagnostic medical systems is key to explore its possibilities in the daily practice.

This year’s program focuses on the translational aspects of Artificial Intelligence in diagnostic medical systems and sitem-insel School once again has managed to invite prominent, international scientific experts in relevant fields – Jorge Cardoso (Reader in Artificial Medical Intelligence at King’s College London, CTO London Medical Imaging and AI Centre for Value-based Healthcare); Meritxell Bach Cuadra (CIBM Center for Biomedical Imaging, Lausanne University (UNIL); Lauren Oakden Rayner (Australian Institute for Machine Learning at the University of Adelaide); Lena Meier-Hein (Deutsches Krebsforschungszentrum); Christoph Gräni (Department of Cardiology, Inselspital, University Hospital Bern); Patrick Oumoumi (Department of Radiology, CHUV, Lausanne); Christian Federau (AI Medical AG) and Rebecca Ramb (Siemens Healthineers) – who will present some of the latest developments in the field.

We look forward to you joining the Symposium 2022!

 Time  Program Speaker 
08.30 - 08.45 Introduction & Welcome Dr Richard McKinley, Inselspital & University of Bern 
08.45 – 09.30 Keynote 1: Safe and robust AI in a highly heterogenous data environment
Jorge Cardoso (Reader in Artificial Medical Intelligence at King's College London, CTO London Medical Imaging and AI Center for Value-based Healthcare)
09.30 – 10.00

Talk 1: Synthetic and simulated data for improved domain adaptation

Meritxell Bach Cuadra (CIBM Center for Biomedical Imaging, Lausanne University (UNIL)

10.00 – 10.45 Breakout session
10.45 – 11.30

Keynote 2: Safety in medical AI

Lauren Oakden Rayner (Australian Institute for Machine Learning at the University of Adelaide)

11.30 – 12.00

Talk 2: Performance metrics in the wild: pitfalls and recommendations for image analysis validation

Lena Meier-Hein (Deutsches Krebsforschungszentrum)

12.00 – 12.45 Breakout session

12.45 – 13.45

Sponsored Lunch session

 
13.45 – 14.30

Keynote 3: AI in Cardiac imaging

Christoph Gräni (Department of Cardiology, Inselspital, University Hospital Bern)

14.30 – 15.00

Talk 3: To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)

Patrick Oumoumi (Department of Radiology, CHUV, Lausanne) 

15.00 – 15.30 Talk 4: Jazz: a Pragmatic Solution for Handling Daily Clinical Brain Image Heterogeneity

Christian Federau (AI Medical AG)

15.30 – 16.00

Break Out Session

 
16.00 – 16.45

Keynote 4: Requirements for successful AI implementation – the vendor’s perspective

Rebecca Ramb (Siemens Healthineers)

16.45 – 17.00 Closing remarks Dr Richard McKinley, Inselspital & University of Bern 

Registration

sitem-insel School  provides opportunities to join the video conference or watch the Symposium through a live stream (Zoom). Please sign up to the event (registration link below). Everyone registered will further receive more information about the video conference and live stream closer to the date. Once registered, the participants will have access to the videos, even if they miss any sessions.

Contact

If you have any questions about the AI Symposium, please contact: school.sitem@unibe.ch