The close integration of research at the Medical University of Vienna and the clinical care at the University Hospital Vienna enables translation of AI into clinical use.
AI in Neuro Surgery
A new AI software makes it possible to determine specific tumor features within a few minutes during brain tumor surgery based on digital histology images. The digital histological images on which these analyses are based are made possible by the Stimulated Raman Histology technique. Recent studies have shown that brain tumors can be identified on a molecular level during surgery using this method.
AI in Radiology
Deep learning algorithms offer new means to detect patterns in imaging data, and to establish their link to diagnosis, and prognosis. State of the art techniques are entering clinical care and enable to detect subtle signs of disease early, or to quantify disease progression and therapy response. Screening and prevention are two areas where the development of care and technology is closely linked.
AI in Dermatology
Artificial intelligence based image analysis is already used in clinical practice in the context of early recognition of melanoma, specifically the enhanced analysis of total body photographies. Potentially hundreds of pigment lesions are detected automatically, matched in follow-up images, and ranked for changes.