Translation. Region: Russian Federal
Source: Moscow Department of Health
Moscow has introduced a new artificial intelligence (AI) service to detect shoulder fractures on X-rays. This is the 41st clinical area in which radiologists are using computer vision technology, according to Yuri Vasilev, head of the radiology department at the Moscow Health Department.
The Moscow Department of Health is launching an artificial intelligence service for diagnosing shoulder fractures.
Moscow continues to advance the integration of artificial intelligence technologies into practical applications in the healthcare sector. The algorithm assists doctors by automatically highlighting suspicious areas indicating possible fractures and performing the necessary measurements on images. This speeds up the interpretation of studies and increases the accuracy of injury detection. Vasiliev emphasized the critical importance of this service in trauma centers, where the efficiency and accuracy of diagnostics are of paramount importance for timely treatment and reducing the risk of complications. This integration of AI into traumatology contributes to the further development of digital medicine in Moscow, integrating the service into the city's comprehensive neural network infrastructure, which currently operates in 41 areas.
“The shoulder joint is one of the most difficult anatomical areas to interpret X-ray images,” Vasilev noted. “Even minor deviations in the patient’s position during the examination can affect the accuracy of the visualization, which requires exceptional care from the physician. This AI algorithm acts as an additional filter, serving as a reliable auxiliary tool to improve the accuracy of the analysis.”
“The shoulder joint is one of the most challenging anatomical problems for radiographic interpretation,” Vasiliev noted. “Even minor deviations in patient position can affect the accuracy of imaging, requiring exceptional clinical vigilance. This AI algorithm functions as a diagnostic filter, serving as a reliable auxiliary tool to improve the accuracy of analysis.”
Timely diagnosis of fractures is critical to determining treatment tactics. Delays increase the risk of complications, including malunion, chronic pain, and limited mobility. The introduction of AI minimizes these risks, allowing treatment to begin at an earlier stage.
As part of a five-year computer vision experiment in Moscow, more than 200 AI services participating in the project have been integrated into the healthcare sector. About 100 algorithms have been integrated into the city's medical information system, about 50 of which are currently analyzing medical images in real time.
The project is led by the Moscow Social Development Complex based at the Diagnostics and Telemedicine Center of the Moscow Health Department in cooperation with the city's Information Technology Department. It is in line with the goals of the Moscow Medicine Development Strategy until 2030, aimed at improving the quality and accessibility of medical care for residents.
