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