sitem Center for Translational Medicine and Biomedical Entrepreneurship

Standalone Modules

Module 5 - Applications of AI

 

Content

Module 5 reviews applications of AI-assisted image interpretation technologies in radiology,  neuroradiology,  and nuclear medicine. In order to integrate AI in the clinical workflow for improved efficacy, participants will be able to select and benchmark the required hard- and software for AI.

Learning objectives

In Applications of AI participants learn the quality criteria to select AI-suppor-ted image interpretation technology in domains of general radiology & their sub-specialties, neuroradiology & nuclear medicine, get to know the types of AI-supported image interpretation technology and implementation requirements and the integration into clinically approved workflows and efficacy and revenue policies

Learning content

In this module, you receive a general overview of healthcare techno-logy with emphasis on imaging and the legal requirements and safety aspects for clinical use of AI technology in Europe.
It also covers the interpretation and auditability of AI technologies in medical imaging, AI solutions for clinical use, regulations for medical products: “software”, cross-domain AI solution, benchmarking in clinical practice and emerging fields for AI supported decision making in Nuclear Medicine

Start & Duration

2020: 6 May 2021
2021: TBC

The completion of this module takes approximately 1 week.

Credits

2 ECTS

Fee

The cost of this standalone module is 1'600.– SFr.

Reference

02.005

 

Module Leader

Professor and Scientific Director, Support Center for Advanced Neuroimaging (SCAN) and Deputy Physician in-Chief, Institute of Diagnostic and Interventional Neuroradiology, Inselspital - University of Bern

Prof. Dr. med. Roland Wiest

Clinical training in neuroradiology and neurology, expertise in advanced neuroimaging, medical background in MR methods and advanced image analysis, scientific Interest: MR methods, image postprocessing and clinical application, translational research on imaging based outcome prediction and disease monitoring

Head Healthcare Imaging A.I., University of Bern

Prof. Dr. Mauricio Reyes

Mauricio Reyes is an associate professor at the medical faculty of the University of Bern, and is currently leading the Healthcare Imaging A.I. group at the Insel Data Science Center, of the University Hospital Inselspital. His research focuses on basic and applied machine learning technologies as well as biomedical engineering solutions to improve healthcare through medical image computation technologies. A particular strength of his research has been the emphasis on developing solutions that are designed to be integrated into the clinical workflow.