Two new AI-based services for the high-precision diagnosis of multiple fractures in the ankle and wrist have launched for doctors in Moscow. These injuries can lead to improper bone healing, deformities, and long-term mobility issues.

The AI tools are designed to detect even minimal bone cracks and can alert physicians to cases where a patient has sustained multiple fractures, not just one. By using these digital tools in radiology, doctors can now provide faster and more accurate care. AI is already deployed across 43 modalities in the city, according to Anastasia Rakova, Deputy Mayor of Moscow for Social Development.

"Digital solutions have assisted Moscow radiologists in analyzing medical images for over five years," Rakova stated. "We recently launched two new AI services that help detect bone injuries in the ankle and wrist—some of our most functional yet vulnerable joints. The algorithms automatically mark damaged areas and perform necessary measurements, even when signs of several fractures are present."

Moscow radiologists now have over 60 AI services at their disposal. Capabilities range from classifying normal versus diseased tissue to quantifying pathological extent. Utilized in 43 clinical areas, these AI assistants are critical for scaling high-quality, rapid diagnostic throughput for Moscow's population," Rakova added.

The primary symptoms of a fracture-swelling and pain exacerbated by movement - make a rapid and accurate diagnosis essential. This timely assessment, which includes determining the full extent of the injury, is crucial to minimize complications and preserve joint mobility. In radiology, AI technologies address this need by analyzing images against numerous parameters, performing precise calculations, and accelerating processing. These systems can identify even subtle cracks and highlight instances of multiple fractures within a single area. By correctly defining the injury's specifics, AI enables clinicians to select the most appropriate treatment strategy.

 "Forearm, hand, and lower leg injuries are quite common. Diagnosing a fracture involves examination by a traumatologist followed by X-rays," explained Yuri Vasilev, Chief Officer of Radiology at the Moscow Health Care Department. "Specialists use the AI algorithm as a tool to enhance the accuracy and speed of image analysis, which is critical for diagnosis. Timely diagnosis enables prompt treatment, helps avoid complications, and allows patients to regain mobility and return to an active life faster."

These smart algorithms have been in use for five years in Moscow as part of an experiment integrating computer vision into radiological diagnostics. The project is run by the city's Diagnostics and Telemedicine Center, under the Department of Healthcare, in collaboration with the Department of Information Technology. It aligns with the Moscow Healthcare Development Strategy through 2030, aiming to improve the quality and accessibility of medical care for all residents.