Dr. Sergey Morozov, PhD, sent shockwaves through the global medical imaging community when he defected from Russia due to his opposition to the invasion of Ukraine. We caught up with him at ECR 2022 to find out how his switch to a corporate role in Liège, Belgium, is working out.
Until 30 March, Morozov was chief radiology officer for Moscow. He was also CEO of the Diagnostics and Telemedicine Center in Moscow and is past president of the European Society of Medical Imaging Informatics (EuSoMII) and a longstanding and active member of the AuntMinnieEurope.com editorial advisory board. He now works as chief innovation officer for software developer Osimis.
Morozov says his training has enabled him to make a successful transition from radiologist to industry executive. He has received an extremely warm welcome from his Belgian colleagues and is making great progress learning French, he explains in a video interview.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
