The city showcased its experience in developing UMIAS (the Unified Medical Information and Analytical System), the capabilities of the MosMedAI platform, computer vision and generative AI technologies, and its approaches to evaluating and monitoring the quality of medical AI systems.
During the first UN Global Dialogue on AI Governance and the “AI for Good” summit in Geneva, United Nations experts recognized a Moscow project that uses generative AI for the early detection of cardiovascular disease risks. They praised the city’s experience in implementing these technologies in healthcare and expressed a willingness to collaborate, as announced by Anastasia Rakova, Deputy Mayor of Moscow for Social Development.
“Today, Moscow’s healthcare system is world-class, with advanced digital technologies already integrated into the daily work of physicians. We are not merely implementing isolated AI-based solutions; we are building a comprehensive system spanning everything from technology development and application in real world clinical practice to continuous performance monitoring. The results of this work are gaining recognition on major international platforms. In Geneva, Moscow presented its experience in developing digital healthcare and applying artificial intelligence. UN experts honored the Moscow-developed AI tool for the early detection of cardiovascular risks with an award,” said Anastasia Rakova.
The AI was trained on anonymized data from patients who had suffered heart attacks or strokes. It is capable of automatically identifying individuals at high risk of developing these conditions within the next two years. On this basis, a continuously updated registry was created, currently comprising approximately 100,000 people, with a monthly influx of about 5,000 new patients.
The system comprehensively analyzes each patient’s medical data, evaluating the completeness of examinations, the quality of treatment, and current health status. Based on this data, the Unified Medical Information and Analytical System (UMIAS) automatically generates a personalized alert sheet for the primary care physician. This sheet contains information on identified risks as well as recommendations for adjusting treatment and patient monitoring. These prompts are updated whenever a new appointment is scheduled, an ambulance is called, or the patient is hospitalized. As of 2025, this solution is operational in all adult outpatient clinics across Moscow.
Anastasia Rakova added that, during the trip, the Moscow Government delegation met with representatives of the World Health Organization (WHO). WHO experts were shown the development of UMIAS, the MosMedAI platform, and technologies involving computer vision and generative AI, as well as Moscow’s approaches to evaluating and monitoring the quality of medical AI systems. Notably, specialists from the Center for Diagnostics and Telemedicine developed a maturity matrix for AI services. This tool makes it possible to evaluate AI technology performance based on clinical and technical parameters, compare different solutions, and track changes in their quality over time.
“Following the meeting, WHO representatives proposed considering the inclusion of the Center for Diagnostics and Telemedicine in an international consortium comprising around 20 universities and research organizations, as well as involving the city’s experts in the work of an organization specializing in computer vision. This field has been developing in Moscow for over six years, and more than 70 computer vision AI services are already assisting doctors in analyzing medical imaging studies, such as CT scans, MRIs, and X-rays. WHO experts also highly praised the city’s approach to evaluating and monitoring medical AI and expressed interest in further collaboration with our specialists,” said Anastasia Rakova.
Furthermore, during the meeting at WHO headquarters, agreements were reached regarding the certification of Moscow clinics under the HIMSS system. This standard makes it possible to assess the level of digital maturity of medical institutions and the effectiveness of integrating digital tools into clinical practice. The highest score under this standard is awarded to the world’s most advanced medical organizations.
