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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![Representative example of a 16-year-old male patient with underlying X-linked adrenoleukodystrophy. (A, B) Paired anteroposterior (AP) chest radiograph and dual-energy x-ray absorptiometry (DXA) report shows lumbar spine (L1 through L4) areal bone mineral density (BMD). The DXA report was reformatted for anonymization and improved readability. The patient had low BMD (Z score ≤ −2.0). (C) Model (chest radiography [CXR]–BMD) output shows the predicted raw BMD and Z score in comparison with the DXA reference standard, together with interpretability analyses using Shapley additive explanations (SHAP) and gradient-weighted class activation maps. The patient was classified as having low BMD, consistent with the reference standard. AM = age-matched, DEXA = dual-energy x-ray absorptiometry, RM2 = room 2, SNUH = Seoul National University Hospital, YA = young adult.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/ai-children-bone-density.0snnf2EJjr.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
