Seminar program 2023 – Applied Machine Learning in Diagnostic Imaging

Digital transformation based on data-driven technology has the potential to revolutionize medicine.

Academia can play a major role in the development, validation and marketability of innovative solutions responding to the compelling needs of patients and healthcare professionals.


Online via Zoom


SGR-SSR 1 per session

All events take place from 12.15 to 1.00 pm, with approximately 30 minutes lecture plus discussion

16.03.2023 12.15 pm - 1.00 pm
27.04.2023 12.15 pm - 1.00 pm
25.05.2023 12.15 pm - 1.00 pm
15.06.2023 12.15 pm - 1.00 pm
20.07.2023 12.15 pm - 1.00 pm
17.08.2023 12.15 pm - 1.00 pm
21.09.2023 12.15 pm - 1.00 pm
19.10.2023 12.15 pm - 1.00 pm
16.11.2023 12.15 pm - 1.00 pm
21.12.2023 12.15 pm - 1.00 pm


In this program, we address the cardinal points allowing efficient digital technology transfer between academia and medtech industry. Training (of professional profiles competitive in understanding data driven technology. Research and development (R&D) strategies for conducting solid translational research. Creation of an environment in which innovation (I) relies on complementary resources and expertise.

16.03.23 I – Transforming Healthcare with AI: Potential Applications and Challenges
Daniel Truhn, PD Dr., University Hospital Aachen
27.04.23 R&D – Real-time Breast Ultrasound Imaging
Carlotta Ruppert, b-rayZ AG
25.05.23 R&D – Monitoring performance of AI algorithms
Federica Zanca, Dr., Groupe 3R
15.06.23 R&D – Quality Assurance for Auto-Segmentation AI
Robert Poel, Inselspital Bern
20.07.23 R&D – Synthetic CT from MRI images for RT Planning
Riccardo dal Bello, Dr. rer. nat., University Hospital Zurich
17.08.23 R&D – Vision-Language Models in Thoracic Imaging
Christian Blüthgen, Dr. med., University Hospital Zurich
21.09.23 R&D – Radiomics in Liver Imaging
Vincenza Granata, MD PhD, Istituto Nazionale Tumori
19.10.23 I – Procurement in the Digital Health
Aida Yousefi, Novart Projects Ltd.
16.11.23 I – The FDA approval process
Stefan Voser, ScanDiags AG
21.12.23 R&D – Integration of AI into the MR workflow: Are we there yet?
Thomas Küstner, Prof. Dr.-Ing., University Hospital Tübingen


The event is fully digital
Meeting ID: 675 3508 1091
Passcode: 086449


Department of Diagnostic and Interventional Radiology, USZ

Dr. Davide Cester,
PD Dr. Alexander Ciritsis,
Dr. Catherine Paverd,
Prof. Dr. Cristina Rossi,

Department of Radiation Oncology, USZ

Dr. Stephanie Tanadini Lang,