sitem-insel AG
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.
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.
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
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
