sitem-insel AG

Symposium Artificial Intelligence in Clinical Medical Imaging 2020



September 03, 2020


8.30 am until 5 pm


digital participation only

Public opening event for the CAS Artificial Intelligence in Medical Imaging 2020

Leading International Experts in AI in Medicine from Canada, UK, Denmark, Germany,  the Netherlands, USA

In an increasingly technological world, understanding the principles and extensive potential of Artificial Intelligence is key to explore its possibilities in the daily practice of Medical Imaging. For the second year, sitem-insel School offers its successful CAS course in Artificial Image in Medical Imaging by the University of Bern. As before, the program is initiated by a public symposium.

This year’s program focuses on the diverse aspects of Clinical Artificial Intelligence in Medical Imaging and sitem-insel School once again managed to invite accomplished, international scientific experts in their relevant fields who will present some of the latest developments in the field.

We look forward to you joining the Symposium 2020!



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 until 31 August 2020 here. Everyone registered will further receive more information about the video conference and live stream closer to the date.


sitem-insel School

This symposium is part of the study program CAS Artificial Intelligence in Medical Imaging of the sitem-insel School and accredited by the University of Bern.


Program Part I

08.30– 08.45
Introduction and Welcome
Jürgen Burger, University of Bern and Roland Wiest, Inselspital Bern

08.45 – 09.30
Keynote Lecture: Cardio-Vascular Imaging
Steffen Petersen, Queen Mary University of London, London

09.30 – 10.00
A Gentle Introduction to Deep Learning in Medical Image Processing
Andreas K. Meier, Friedrich-Alexander-Universität, Erlangen-Nürnberg

10.00 – 10.30
Break Out Session

10.30 – 11.15
Keynote lecture: Radiology, e.g. Translating AI into Radiology
Erik R. Ranschaert, Elisabeth-TweeSteden Ziekenhuis, Tilburg

11.15 – 11.45
AI in Radiology: The Story Behind the Data
Ben Glocker, Imperial College London, London

11.45 – 12.15
Machine Learning in Nuclear Medicine
Kim Mouridsen, Aarhus University, Aarhus

12.15 – 13.30
Break Out Session


Program Part II

13.30 – 14.15
Keynote Lecture: Radiomics and Radio-Genomics: Opportunities in Precision Medicine
Pallavi Tiwari, Case Western Reserve University, Cleveland

14.15 – 14.45
AI Applied to Digital Pathology
Anne Martel, University of Toronto, Toronto

14.45 – 15.15
Implications of AI for treatment of patients​
Vitor Pereira, Toronto Western Hospital, University of Toronto, Toronto

15.15 – 15.45
Break Out Session

15.45 – 16.45
Round Table Discussion with Short Presentation
Short Presentation by Jens Opalka, Mediaire, Berlin: Translation of AI Technologies to Patient Care. Round Table Discussion with Jürgen Burger, Anne Martel, Kim Mouridsen, Hendrik von Tengg-Kobligk, Pallavi Tiwari and Roland Wiest

16.45 – 17.00
Closing Remarks