A new artificial intelligence-based tool for the automatic diagnosis of shoulder joint fractures will be introduced in the capital’s medical institutions, according to the portal mos.ru. The algorithm analyzes X-rays, detects suspicious areas, and performs essential measurements, thereby accelerating data interpretation and enhancing the accuracy of injury detection.
As emphasized by Moscow’s chief radiologist, Yuri Vasiliev, this marks the 41st clinical area in which computer vision technologies are being used. The algorithm is particularly vital in trauma centers, where efficiency and high diagnostic accuracy are essential. This enables timely initiation of treatment and helps reduce the risk of complications,” he said.
The shoulder joint is considered one of the most challenging areas for X-ray diagnosis. Even minimal changes in the patient’s position can affect the image quality. The new AI service helps doctors focus on key changes, minimizing the possibility of error.
Moscow is actively implementing AI in the healthcare sector. Over the past five years, more than 100 AI algorithms have been integrated into the EMIAS Unified Radiological Information Service (ERIS) system, with 50 of them currently in active use for real-time analysis of medical images.
According to the portal mos.ru, the directions include the diagnosis of lung diseases, cholelithiasis, arthrosis, and other pathologies. In 2024, on behalf of Russian President Vladimir Putin, a unified MosMedIA platform was established, integrating proven AI solutions from Moscow medical organizations. Currently, 75% of Russia’s regions are connected to it, including Voronezh, Moscow, Kaliningrad, Lipetsk, Chelyabinsk, Ulyanovsk regions, the Yamalo-Nenets Autonomous Okrug, and others.
