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.

Standort

Online via Zoom

Credits

SGR SSR 1 per session

Events are fully digital

16.03.2023 12.15 pm - 1.00 pm
20.04.2023 12.15 pm - 1.00 pm
18.05.2023 12.15 pm - 1.00 pm
15.06.2023 12.15 pm - 1.00 pm
13.07.2023 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
14.12.2023 12.15 pm - 1.00 pm

Program

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
PD Dr. Daniel Truhn, University Hospital Aachen
20.04.23 R&D – Real-time Breast Ultrasound Imaging
Carlotta Ruppert, b-rayZ AG
18.05.23 R&D – to be confirmed
15.06.23 R&D – Quality Assurance for Auto-Segmentation AI
Robert Poel, Inselspital Bern
13.07.23 R&D – Synthetic CT from MRI images for RT Planning
Dr. Riccardo dal Bello, University Hospital Zurich
21.09.23 I – Procurement in the Digital Health
Aida Yousefi, Novart Projects Ltd.
19.10.23 R&D – Radiomics in Liver Imaging
16.11.23 I – The FDA approval process
Stefan Voser, ScanDiags AG
14.12.23 R&D – to be confirmed

Participation

The event is fully digital
https://zoom.us/join
Meeting ID: 675 3508 1091
Passcode: 086449

Contact

Department of Diagnostic and Interventional Radiology, USZ

PD Dr. Cristina Rossi
cristina.rossi@usz.ch

Dr. Davide Cester
davide.cester@usz.ch

 

Department of Radiation Oncology, USZ

Dr. Stephanie Tanadini Lang
stephanie.lang@usz.ch