There's a lot of talk and fuss at the moment about artificial intelligence (AI), but how can it really boost efficiency and improve workflow, and how can you realize the full potential of the emerging technology? Dr. Sergey Morozov, PhD, professor, CEO of the Research and Practice Center of Medical Radiology, and chief radiology officer of Moscow, provides some answers in part two of our special focus on AI.
There's a lot of talk and fuss at the moment about artificial intelligence (AI), but how can it really boost efficiency and improve workflow, and how can you realize the full potential of the emerging technology? Dr. Sergey Morozov, PhD, professor, CEO of the Research and Practice Center of Medical Radiology, and chief radiology officer of Moscow, provides some answers in part two of our special focus on AI.Video from ECR 2018: Sergey Morozov on tapping AI's potential
Feb 28, 2018
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![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)
