The AI in Cancer Imaging Symposium brought together AI, Radiology, and Privacy Law in an interdisciplinary discussion joined by Prof. Guillaume Chassagnon from Paris, and Prof. Griet Verhenneman from Ghent.
On Nov 4th the AI in Cancer Imaging symposium organized by the CD Lab Machine Learning Driven Precision Imaging, the CIR Lab at MedUni Wien, together with the Department of Innovation and Digitalisation in Law at Uni Wien took place. Guillaume Chassagnon from Université Paris Cité discussed paths of AI into lung cancer screening, diagnosis, and treatment guidance. Griet Verhenneman from Ghent University presented the role and possible future directions of legislation in the context of the European Health Data Space.
Guillaume Chassagnon presented the state of current machine learning algorithms in the context of lung cancer screening, the diagnosis of lung cancer in clinical settings, and the guidance of complex treatment with help of ML models. Current results suggest that there is a clear role in the clinical context, as algorithms can support clinicians in the diagnostic role. Of particular interest is the question how algorithms can serve as second-, or even first reader in the assessment of imaging data, and the possible impact on care quality.
Griet Verhenneman asked the question if it is really always GDPR that hampers the secondary use of data. It seems that this is not the case, as the frameworks for the transparent use are there. Legislation around the European Health Data Space (EHDS) is advancing, and should further foster the use of data for scientific research. Here, however the state of things across Europe is still very much in progress.