Pilot 'AI in radiology training' resounding success

Artificial Intelligence (AI) can no longer be ignored in radiology and, with proper integration into the radiologist's workflow, will offer many new opportunities for the future. But what exactly is involved and what does the radiologist need to consider? To delve deeper into these questions, experts from UMCG, and UTwente jointly conducted the pilot 'AI in Radiology Training' last month.

The course was developed at UTwente as part of B3CARE; a long-term project, led by Peter van Ooijen and Rozemarijn Vliegenthart, focusing on CT screening of three common diseases: lung cancer, pulmonary emphysema and cardiovascular disease, also known as the Big-3. For this pilot, the course was fully adapted for radiologists. 

The three-day curriculum, consisting of theory, hands-on and practical knowledge, took place at the UMCG in October. Interactive sessions gave participants a good idea of the possibilities, implication opportunities and ethical dilemmas surrounding AI. The pilot was well received and follow-up steps are being further determined.

The pilot is a collaboration of Data Science Center in Health (DASH), UMCG and UTwente. Want to know more? Then contact Dr Can Ozan Tan (UTwente) or Dr Derya Yakar (UMCG).