All adult polyclinics in Moscow have been equipped with digital electrocardiographs, and almost a thousand new devices have been purchased for this purpose. This was told by Anastasia Rakova, Deputy Mayor of Moscow for Social Development. Connecting the new equipment to a single digital healthcare platform will allow the use of artificial intelligence to decode ECG. In the future, artificial intelligence will also be used to decipher the results of daily heart monitoring — this technology is already being tested. According to, the global Artificial Intelligence market was valued to be worth USD 129.28 billion in 2022. From 2023 to 2032, it is estimated to reach USD 2967.51 billion growing at a CAGR of 36.8%.

Decoding of electrocardiograms using artificial intelligence algorithms has become possible thanks to the integration of electrocardiographs with the unified medical Information and analytical system (EMIAS). As noted in the Moscow Department of Information Technology, the results are now recorded not on paper tape, but in digital form. Next, an electronic conclusion of the study is formed in the system, which, if necessary, is corrected by a functional diagnostics doctor. This provides a fundamentally new qualitative level of research due to the high accuracy of data analysis performed by algorithms. In addition, it increases the accuracy of the description and diagnosis, as well as significantly reduces the time to obtain the results of the study.

The protocol of the instrumental examination and the electrocardiogram are stored in the electronic patient record and are available for viewing by both specialist doctors and patients themselves in pdf file format. Now automatic ECG decoding by algorithms is already available for implementation in all children’s city polyclinics that use digital electrocardiographs.

Artificial intelligence is also used in other areas of diagnosis of cardiovascular diseases. Thus, computer vision technologies help Moscow radiologists to recognize an aneurysm of the thoracic aorta on radiation images. Neural networks pre-process the images and mark them up where the doctor’s increased attention is required. Thanks to the introduction of the service, the doctor can pay attention to even the smallest deviations and describe the pictures faster.

Moscow has been digitalizing the healthcare system for 10 years. One of the main tasks today is the development of a single digital healthcare platform. The project is supervised by the Social development Complex of Moscow and the City Department of Information Technology. The platform provides personalized management of each patient at all stages — from diagnosis and treatment to follow-up. All data is available online to both doctors and patients.