16 ноября 2020

The WEBIOMED case is included in the open AI Russia library

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The Alliance for Artificial Intelligence has created an open AI Russia library, which will collect the best Russian AI projects.

The goal of AI Russia is to reflect the main trends in the development of artificial intelligence in Russia and demonstrate the options for the practical application of AI.

The library includes projects that have passed multi-stage verification and competitive selection. The expert council reviews and evaluates the maturity of each solution and the elaboration of the key component based on artificial intelligence in advance.

The final evaluation of the project depends not only on manufacturability but on the business component as well: what economic effect the implementation of the product had on the company's activities.

Several solutions are presented in the field of healthcare, and one of them is the WEBIOMED system of predictive analytics.

The AI Russia Works library published the Increasing the efficiency of clinical examination of the population case from the Medical Center for Information and Analysis of Yamalo-Nenets Autonomous Okrug of Russia. (Case (in Russian): https://ai-russia.ru/yanao-monitoring).

Medical Examination ProblemsResults of the project

Roman Novitsky«Evaluation of the effectiveness of clinical examination requires an in-depth analysis of the data from a patient's health record. The process of analysis of an electronic health record can take up to 10-15 minutes or more. It is often impossible to analyze all the data for every patient. 

Webiomed system as a digital assistant allows you to analyze the patient's electronic health record automatically, identify risk factors and suspected diseases, detect diseases at an early stage and prevent their development, which is the main task of preventive medicine,” stated the CEO of K-SkAI, Roman Novitsky.


We would like to express our gratitude to Olga Belorus, director of the Medical Center for Information and Analysis of the Yamalo-Nenets Autonomous Okrug, and Sergey Tokarev, head physician of the YNAO Center for Medical Prevention. We thank them for their fruitful cooperation and for their help in preparing materials for the case.

Source (in Russian): https://corp.mail.ru/ru/press/releases/10767/

AI Russia Library (in Russian): https://ai-russia.ru/

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