Moscow’s healthcare system has reached a new milestone in medical technology with the launch of its 70th artificial intelligence (AI) service for radiology. The latest digital assistant is specifically designed to enhance pediatric care by analyzing hip X-rays in children, automating the complex process of coxometry to aid in the early detection of dysplasia. The initiative was announced by Anastasia Rakova, Deputy Mayor of Moscow for Social Development.

“Today, Moscow radiologists have 70 AI services at their use, each designed to improve the speed and precision of medical image analysis. This newest tool is a significant advancement for pediatrics,” stated Deputy Mayor Rakova. “Accurately measuring joint angles and assessing bone alignment in a child’s hip is critical. The AI automates these measurements, enabling physicians to compile their reports more efficiently. By expanding our portfolio of digital assistants, we are making modern diagnostics more technologically advanced and accessible.”

Coxometry requires exact placement of anatomical landmarks and angle calculations to evaluate the relative position of hip joint structures. In suspected dysplasia, these measurements are essential for identifying developmental abnormalities. The new AI service performs the technically demanding task of plotting the required angles on an X-ray; the treating physician then interprets these results together with clinical data and other imaging findings.

The expansion of AI capabilities in Moscow’s radiology sector spans multiple areas. Alongside the coxometry tool, specialists have also received new algorithms for complex abdominal CT analysis, automated assessment of radiographic signs of knee osteoarthritis, and morphometric analysis of brain MRI.  Clinicians can compare outputs from multiple algorithms when reviewing studies, which helps reveal subtle or hard to discern imaging changes.

Overall, Moscow now applies artificial intelligence across 45 clinical areas in radiology. These algorithms assist with image analysis, triage, and faster report generation. . It is important to note, however, that all digital services function strictly as supportive tools; the final clinical decision always rests with the attending physician, who synthesizes the AI’s findings with the patient’s medical history, symptoms, and comorbidities.    

Moscow’s healthcare system has been piloting computer vision technologies in radiology for six years. The initiative is coordinated by theCenter for  Diagnostics and Telemedicine of the Moscow Health Department in partnership with the Moscow Department of Information Technology.

The Center for Diagnostics and Telemedicine is a leading scientific and practical institution within Moscow’s healthcare infrastructure The center focuses on advancing imaging and instrumental diagnostics, driving digital transformation in healthcare, implementing AI technologies in clinical practice, and conducting related research and professional education.