AI Symposium 2021
Artificial Intelligence in Diagnostic Medical Systems

sitem-insel School & University of Bern | 2 September 2021, 10am until 6pm

AI Symposium 2021

On-line & On-site (limited number of attendees, sitem-insel, Freiburgstrasse 3, 3010 Bern)


We are happy to announce the AI Symposium 2021.

  • Public opening event to kick off the CAS Artificial Intelligence in Medical Imaging program 2021

  • 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. For the third year, sitem-insel School offers its successful CAS course in Artificial Image in Medical Imaging by the University of Bern. As in previous years, the program is initiated by a public symposium.

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 – Prof. Dr. Jürgen Burger and Prof. Dr. Roland Wiest from the University of Bern and University Hospital Bern; Prof. Michaela van der Schaar from the University of Cambridge, Prof. Charles E Kahn, University of Pennsylvania, Dr. Shibeshih Belachew from Biogen and Robert (Ted) Baldwin from Imageens, among others – who will present some of the latest developments in the field. Agenda and the speakers line-up will follow.

We look forward to you joining the Symposium 2021!


Due to the on-going pandemic, sitem-insel School  provides opportunities to join the video conference or watch the Symposium through a live stream. Please sign up to get your credentials for the digital participation of the Symposium no later than the 31st August 2021 (registration link below). Everyone registered will further receive more information about the video conference and live stream closer to the date.


If you have any questions about the AI Symposium or the CAS Artificial Intelligence in Medical Imaging study program, please contact: