Source: Moscow Health Care Department
Moscow has deployed a new artificial intelligence (AI) service to detect shoulder fractures on X-ray images. This marks the 41st clinical area where the radiologists utilize computer vision technologies, according to Yuri Vasilev, Chief Officer of Radiology at the Moscow Health Care Department.
Moscow is continually advancing the integration of artificial intelligence technologies into practical healthcare applications. The algorithm assists doctors by automatically highlighting suspicious areas indicating potential fractures and performing necessary measurements on the images. This accelerates the interpretation of studies and enhances the accuracy of injury detection. Vasilev emphasized the service’s critical importance in trauma centers, where efficiency and diagnostic precision are paramount for timely treatment and reducing complication risks. This integration of AI into traumatology advances Moscow’s ongoing development of digital medicine, integrating the service into the city’s comprehensive neural network infrastructure, which now operates across 41 modalities.
“The shoulder joint is one of the most complex anatomical areas for interpreting X-ray images,” Vasiliev noted. “Even minor deviations in the patient’s position during the examination can affect visualization accuracy, demanding exceptional doctor attentiveness. This AI algorithm acts as an additional filter, serving as a reliable auxiliary tool to increase analysis accuracy.”
“The shoulder joint is one of the most complex anatomical challenges for X-ray interpretation,” Vasiliev noted. “Even minor patient positioning variations can compromise visualization accuracy, requiring exceptional clinical vigilance. This AI algorithm functions as a diagnostic filter, providing a reliable auxiliary tool to enhance analytical precision.”
Timely fracture diagnosis is crucial for determining treatment tactics. Delays increase risks of complications, including improper bone fusion, chronic pain, and limited mobility. AI implementation minimizes these risks by enabling earlier therapy initiation.
Moscow’s integration of smart algorithms into healthcare, as part of a five-year experiment in computer vision, now includes over 200 AI services participating in the project. Approximately 100 algorithms have been integrated into the city’s medical information system, with about 50 currently analyzing medical images in real-time streaming mode.
The project is led by the Moscow Social Development Complex, based on the Center for Diagnostics and Telemedicine of the Moscow Healthcare Department, in collaboration with the city’s Department of Information Technology. It aligns with the goals of the Moscow Medicine Development Strategy until 2030, aiming to improve the quality and accessibility of medical care for residents.
