AI in Russian medicine: over 16 million images and reaching the federal level
Large-scale digitalization of healthcare in Russia is making a new leap. The artificial intelligence platform "MosMedAI" has reached the federal level, uniting over two thousand clinics from 75 regions of the country. The key result of the system's operation is the processing of over 16 million radiological studies.
The project, which originated in 2020 at the height of the coronavirus pandemic, was initially developed by the Moscow government together with specialists from the Center for Diagnostics and Telemedicine. In 2024, by order of President Vladimir Putin, regional clinics received free access to this development, which ensured such rapid scaling.
Strict Selection and Practical Benefits
During the platform's operation, experts tested about 70 different services. However, only the best solutions passed the rigorous selection — 18 proven AI services that today help doctors in daily clinical practice. Digital assistants do not replace the specialist but act as a powerful tool for primary analysis and identifying hidden threats.
Diagnostic Capabilities of Neural Networks
The platform's algorithms cover a wide range of studies. The table below presents the key areas of AI operation:
| Type of Study | What the Neural Network Analyzes |
| Mammography | Changes in breast tissue |
| Fluorography and X-ray | Lung pathologies and signs of scoliosis |
| CT (Computed Tomography) | Focal formations and organ lesions |
The system automatically highlights suspicious areas on images and provides the radiologist with detailed additional information. In Moscow clinics, the neural network can recognize up to 14 different diseases in a single image. Recently, the list of capabilities was expanded with the diagnosis of scoliosis using spinal X-rays.
Expert Comment: The launch of "MosMedAI" at the federal level is a landmark event. This is not just a local success but a demonstration of how government initiatives can effectively implement AI technologies in critically important areas. Processing 16 million images is a colossal array of data that allows for continuous training and improvement of algorithms. For the crypto industry, where big data analysis and process automation are paramount, this case is a vivid example of synergy between technology and the real sector. The medical AI market in Russia, judging by such a pace, has every chance of becoming one of the most dynamically developing.