CD-Labor für maschinelles Lernen zur Präzisionsbildgebung

The overall objective of this project is to develop and validate novel methodology regarding precision medicine and machine learning. The aim is to improve the individualisation of care in patients with lung cancer through interdisciplinary research into the integration of artificial intelligence (AI) and machine learning (ML) in oncologic imaging and clinical decision making. 

Lung cancer is the leading cause of cancer-death worldwide and one of the leading causes of death in Europe. However, treatment options are numerous and heterogenous. For this reason, a tool is needed to bridge the gap between the wide variety of available data and the variety of different treatments. This is to be done with ML-models which will be trained on pooled multi-site data and which will support clinicians in their decision-making process. 

The Department of Innovation and Digitalisation in Law will address the legal prerequisites for these models in this new and innovative field and will develop blueprints for future use of AI in medical research. Legal implications of various different areas such as Data Protection and AI Regulation will be assessed and disseminated. 

More information on the project can be found here and in u:cris.

 

Experts of the Department working on this project: