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Project

Ministry of Health of the Russian Federation creates a federal AI platform for training algorithms in healthcare

Customers: Ministry of Health of the Russian Federation (Ministry of Health)

Moscow; Pharmaceuticals, Medicine, Healthcare



Project date: 2021/07

July 19, 2021 it became known about the creation in Russia of a federal AI platform for healthcare. The Russian Ministry of Health joint was engaged in Rostec in implementation of this project.

According to To the businessman the Ministry of Health, the new platform is designed to combine impersonal and marked medical data into verified datasets, as well as give Russian IT companies a platform for developing and testing artificial intelligence in. to medicine

The Ministry of Health of the Russian Federation is developing a federal AI platform for training algorithms in healthcare

The data source for the AI platform will be the subsystem of the Unified State Health Information System "Federal Integrated Electronic Medical Card." Its functions include storing sets of impersonal medical data for machine learning algorithms and marking them.

In addition, it is planned to use as a source of data the medical information accumulated in national medical research centers subordinate to the Ministry of Health. Rostec reports that by July 2021, 18 of 33 such institutions are participating in AI projects or conducting their own research in this area. Including - NMIC surgery named after A.V. Vishnevsky, NMIC oncology named after N.N. Blokhin, NMIC endocrinology, NMIC named after V.A. Almazov and NMIC neurosurgery named after academician N.N. Burdenko.

Alexander Gusev, member of the Supervisory Board of the National Medical Knowledge Base Association, Director of Development of Webiomed, called the implementation of such a project an important step towards creating a market for medical AI services in the country.

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Thanks to verified datasets, machine learning will be possible for all such projects. We, for example, are developing a predictive analytics system that will be able to predict the development of various diseases in the patient, and to launch it, we would like to access datasets for cardiovascular disease and diabetes, he said.[1]
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