AI-enabled predictive analytics and risk assessment in healthcare

The first AI-based Russian software in healthcare officially registered as a medical device

Products Contact Us

Target audience

Whom Webiomed is intended for?

Healthcare managers

Managerial and predictive analytics for morbidity and mortality control

  • Management based on big data and machine learning models
  • Automatic risk stratification of the entire population of the region
  • Prediction of disease development and mortality forecasting
  • Population monitoring of the prevalence of risk factors
  • Control of the appropriate EHR management
  • Monitoring of the achievement of target levels and metrics
Contact Us


Clinical decision support for the reduction of the burden and decrease of medical errors

  • Clinical Decision Support System (CDSS)
  • Automatic analysis of electronic health records (EHR) using AI
  • Extraction of medical information from unstructured medical records
  • Automatic determination of the likelihood of disease development, identification of risk factors and a final comprehensive assessment of patient’s risk group
  • Identification of suspected diseases (symptom checker)
  • Individual recommendations to physicians and patients based on clinical guidelines
Contact Us

Pharmaceutical companies

Reduction of the cost of clinical trials by analyzing routine clinical practice data

  • Analysis of real-world clinical data (RWD)
  • Automatic detection of suspicions of various early-stage diseases at, helping physicians in making correct clinical decisions
  • Search for candidates for clinical trials
  • Improving the effectiveness of drug therapy due to accurate identification of high-risk patients
  • Search for unknown disease predictors based on RWD analysis
  • Creation of custom machine learning models
Contact Us

Research organizations

Development of scientific research in the field of artificial intelligence

  • Participation in joint scientific research in the field of artificial intelligence and digital technologies in medicine
  • Building datasets for research and development
  • Machine learning and custom predictive model development
  • RWD research
  • Implementation of innovative technologies in research and educational activities
Contact Us

Insurance companies

Reduction of the cost of patient care and insurance claims

  • Automatic assessment of patients' insurance risks (underwriting)
  • Reduced insurance premiums due to personalized assessment of patients' EHRs and more effective prevention
  • Identification of patients at high risk of hospitalization, disability, etc.
  • Building custom machine learning models
Contact Us

How does it work?

Information gathering

While working with electronoc health record (EHR) a physician can send a reguest tо the CDSS. Then de-identified electronic health records are sent to Webiomed for analysis.


EHR sends the data set to WEBIOMED

WEBIOMED Identifies risk factors and predicts complications


Information analysis

WEBIOMED identifies risk factors and predicts the likelihood of complications or even death of a patient. It generates individual recommendations for disease prevention.

Results on your screen

The answer is send to the information system that has requested the data analysis. The user can see the result in the EHR.



Webiomed presentation

Accumulated data

Digital twins




Medical records


Identified features



Exploring Artificial Intelligence


Development, evaluation and validation of machine learning models to predict hospitalizations of patients with coronary artery disease within the next 12 months

Andrey D. Ermak, Denis V. Gavrilov, Roman E. Novitskiy, Alexander V. Gusev, Anna E. Andreychenko


Perspectives on the application of large language models in healthcare

Andreychenko A.E., Gusev A.V.


Development and testing of new methodical approaches for predicting cardiovascular events in healthy people using machine learning technology based on the «INTEREPID» international research

Mishkin IA, Koncevaya AV, Gusev AV, Saharov AA, Drapkina OM.


Obesity grade I: a study of real clinical practice in the Russian Federation

Authors: None

Medical Technologies. Assessment and Choice

Standardization of implementation of artificial intelligence medical software in terms of digital maturity level

Gusev AV, Kotlovskiy MYu.


Ethical principles of the development of artificial intelligence systems for healthcare

Vasiliev Y.A., Gusev A.V., Mikhailova A.A., Sharova D.E., Arzamasov K.M., Vladzymyrskyy A.V.

1 099

Development and validation of models to predict total and early-onset preeclampsia in the first trimester of pregnancy using machine learning algorithms

Andreychenko A.E., Luchinin A.S., Ivshin A.A., Ermak A.D., Novitskiy R.E., Gusev A.V.

1 561

Results of the pilot implementation of artificial intelligence technologies in the healthcare system of the Yamalo-Nenets autonomous okrug

Olga V. BELORUS, Sergey A. TOKAREV, Maria G. ZAKHAROVA, Alexander V. GUSEV.

1 489

Experience in the application of artificial intelligence technologies for the development of preventive health care on the example of the Kirov region. ManagerZdravoohranenia

Kurdyumov D.A., Kashin A.V., Ryabov N.Yu., Novitsky R.E., Gusev A.V.

1 465

Short-term forecasting of mortality rates based on operational data using machine learning methods

Gusev A., Andreychenko A., Kotlovskii M., Tarasenko T., Deev I., & Kobiakova O.

1 519

Prediction of cardiovascular events using proportional risk models and machine learning models: a systematic review

I.A Mishkin1,A.V. Kontsevaya,A.V Gusev,O. M. Drapkina

1 455

Retrospective analysis of the prevalence of ischemic stroke and the appointment of anticoagulant therapy in patients with atrial fibrillation depending on the body mass index

Druzhilov M.A., Kuznetsova T.Yu., Druzhilova O.Yu., Tsarkova M.K., Gavrilov D.V., Gusev A.V.

2 009

State registration of software as a medical device according to the rules of the Eurasian Economic Union (EAEU)

Gusev AV, Chizikov AA, Stolbov AP, Krivonosova OA.

1 725

Survey of awareness and opinions of Russian healthcare managers on artificial intelligence

Gusev A.V., Rebrova O.Yu.

1 980

Prevention of febrile neutropenia in oncological patients: real-world data

Sapozhnikov KV, Sorokina IV, Gusev AV, Sableva NA, Sokolova VD, Tolkacheva DG, Berezina AM.

1 634

Atrial fibrillation and chronic kidney disease: main clinical characteristics of patients in selected subjects of the Russian Federation

Druzhilov M. A., Kuznetsova T. Yu., Druzhilova O. Yu.,Arustamova U.D., Gavrilov D.V., Gusev A.V.

1 785

Ethical problems in the development of artificial intelligence technologies in healthcare

Gusev A.V., Sharova D.E.

1 601

Analysis of Publication Activity and Research Trends in the Field of AI Medical Applications: Network Approach

Oleg E. Karpov, Elena N. Pitsik, Semen A. Kurkin, Vladimir A. Maksimenko, Alexander V. Gusev, Natali N. Shusharina and Alexander E. Hramov

1 863

Artificial Intelligence on Guard of Reproductive Health

Aleksandr A. Ivshin, Juliia S. Boldina, Aleksandr V. Gusev, Aleksey S. Shtykov, Aleksey S. Vasilev.

1 234

Сriteria for the applicability of computer vision for preventive studies on the example of chest x-ray and fluorography

K.M. Arzamasov , S.S. Semenov , D.Yu. Kokina , T.M. Bobrovskaya , N.A. Pavlov , Y.S. Kirpichev, A.E. Andreychenko, A.V. Vladzymyrskyy

1 944

Аn analysis of global experience in regulations on the use of medical data for artificial intelligence systems development based on machine learning

Sharova D.E., Mikhailova A.A., Gusev A.V., Garbuk S.V., Vladzymyrskyy A.V., Vasilev Y.A.

1 765

mHealth apps as a tool for the prevention of cardiovascular diseases.

Mishkin I.A., Gusev A.V., Kontsevaya A.V., Drapkina O.M.

1 895

Extraction of medical data from electronic medical records using NLP algorithms

Аleksandr V. Gusev, Roman E. Novitskiy, Aleksandr A. Ivshin, Juliia S. Boldina, Аleksey S. Shtykov, Аleksey S. Vasilev

2 310

Health Information System Maturity Assessment Methodology

Vladzimirsky A.V., Gusev A.V., Sharova D.E., Shulkin I.M., Popov A.A., Balashov M.K., Omelyanskaya O.V.,Vasilyev  Y.A.

2 630

Informatization of healthcare in the Russian Federation: history and results of development

Gusev A.V., Vladzimirskii A.V., Golubev N.A., Zarubina T.V.

2 083

Evolution of research and development in the field of artificial intelligence technologies for healthcare in the Russian Federation: results of 2021

Gusev A.V., Vladzymyrskyy A.V., Sharova D.E., Arzamasov K.M., Khramov A.E.

1 727

Methodical approach and recommendations for scientific description of creation and validation of machine learning model

Gusev AV, Vladzymyrskyy AV, Gavrilenko GG.

2 152

Electronic medical records as a source of real-world clinical data

Gusev AV, Zingerman BV, Tyufilin DS, Zinchenko VV.

1 825

Predicting the subclinical carotid atherosclerosis in overweight and obese patients using a machine learning model

Gavrilov D.V., Kuznetsova T.Yu., Druzhilov M.A., Korsakov I.N., Gusev A.V.

1 893

Verification of subclinical carotid atherosclerosis as part of risk stratification in overweight and obesity: the role of machine learning in the development of a diagnostic algorithm

Druzhilov M. A., Kuznetsova T. Yu., Gavrilov D. V., Gusev A. V.

2 117

Sample Size Calculation for Clinical Trials of Medical Decision Support Systems with Binary Outcome. Sovremennye tehnologii v medicine

Rebrova O.Yu., Gusev A.V.

1 251

Artificial intelligence in the Healthcare of Russia. Laboratory Role

Authors: None

Laboratory Service
2 330

Development of a machine learning model to interpret the results of laboratory diagnostics in order to identify suspected diseases

Gusev AV, Gavrilenko GG, Gavrilov DV.

1 919

Artificial intelligence on the doorstep of the laboratory

Evgina SA, Gusev AV, Shamanskiy MB, Godkov MA.

2 275

Principles for building confidence in artificial intelligence systems for healthcare

Gusev A.V., Astapenko E.M., Ivanov I.V., Zarubina T.V., Kobrinskii B.A.

2 725

Feasibility of using artificial intelligence in radiology (first year of Moscow experiment on computer vision)

Morozov S.P., Vladzymyrskyy A.V., Shulkin I.M., Ledikhova N.V., Arzamasov K.M., Andreychenko A.E., Logunova
T.A., Omelyanskaya O.V., Gusev A.

2 789

Prospects for the use of big data in Russian healthcare

A. Gusev

2 736

THE USE OF THE CLINICAL DECISION SUPPORT SYSTEM to control the accurateness of cardiovascular risk assessment for adult checkup

Aleksandr V. GUSEV, Sergey A. TOKAREV, Denis V. GAVRILOV, Tatiana Yu. KUZNETSOVA

3 104

Global trends in the digital transformation of the healthcare industry

Pugachev P.S., Gusev A.V., Kobyakova O.S., Kadyrov F.N., Gavrilov D.V., Novitskii R.E., Vladzimirskii A.V.

2 090

Improvement of cardiovascular risk assessment using machine learning methods

Gusev I.V., Gavrilov D.V., Novitsky R.E., Kuznetsova T.Yu., Boytsov S.A.

2 623

Predictors of endometriosis in infertility

Ivshin A.A., Pogodin O.O., Gusev A.V.

3 333

Machine learning based on laboratory data for disease prediction

Gusev A.V., Novitskiy R.E., Ivshin A.A., Alekseev A.A.

2 865

The role of artificial intelligence in predicting preterm birth

Ivshin AA, Boldina YuS, Gusev AV.

4 015

Healthcare in the smartphone: the situation in Russia

 Gusev A.V., Ivshin A.A., Vladzimirskiy A.V.

4 016

COVID-19 pandemic prediction model based on machine learning in selected regions of the Russian Federation

D.V. Gavrilov, R.V. Abramov,  А.V. Kirilkina, А.А. Ivshin,   R.E. Novitskiy

4 298

Predicting preeclampsia using artificial intelligence technologies

 A. A Ivshin, T. Z. Bagaudin, A.V. Gusev

3 502

Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy

Pavlovskii V.V., Derevitskii I.V., Kovalchuk S.V.

4 430

Prevalence of chronic kidney disease according to the CKD Epidemiology retrospective cohort study (Kirov city)

Batiushin M.M. , Kasimova I.S.,Gavrilov D.V. , Gysev A.V., Gulamov A.A.

4 116

Ethics and digital: from problems to solutions

Arkhipov A.V., Gusev A.V., Orlova A.A.

4 264

Retrospective analysis of electronic health records of patients with heart failure: the first Russian experience

Gilyarevsky S.R., Gavrilov D.V., Gusev A.V.

4 210

Artificial intelligence on guard of reproductive health

A.A. Ivshin, T.Z. Bagaudin, A.V. Gusev

4 497

Correctness of cardiovascular risk assessment in daily clinical practice

D.V. Gavrilov, A.V. Gusev, A.V. NIKULINA1, T.Yu. Kuznetsova, O.M. Drapkina

5 265

Legal regulation of artificial intelligence software in healthcare in the Russian Federation

Gusev AV, Morozov SP, Kutichev VA, Novitsky RE.

4 653

Artificial intelligence: predictive analytics of perinatal risks

Ivshin A.A., Gusev A.V., Novitskiy R.E.

5 072

Predictive analytics technologies in the management of the COVID-19 pandemic

4 869

Algorithm for forming a suspicion of a new coronavirus infection based on the analysis of symptoms for use in medical decision support systems

Gavrilov D.V., Kirilkina A. V.2, Serova L. M.

4 519


D. Gavrilov; L. Serova, I. Korsakov,  A. Gusev, R. Novitsky, T. Kuznetsova

4 882

Adapting neural network models to predict 10-year CVD development based on regional data calibration

I. Korsakov, D. Gavrilov, L. Serova, A. Gusev, R. Novitskiy, T. Kuznetsova


4 658

Feature Extraction Method from Electronic Health Records in Russia

Gavrilov D., Gusev A., Korsakov I., Novitsky R., Serova L.

3 899

Deep and machine learning models to improve risk prediction of cardiovascular disease using data extraction from electronic health records

Authors: Korsakov I., Gusev A., Kuznetsova T., Gavrilov D., Novitskiy R.

European Heart Journal • Volume 40 • Issue Supplement_1 • October 2019
3 970

Prospects for the use of machine learning methods for predicting cardiovascular disease

Authors: Gusev A. V., Gavrilov D. V., Korsakov I. N., Serova L. M., Novitsky R. E., Kuznetsova T.Yu.

Information technologies for the Physician • №3 2019
4 291

Artificial intelligence for cardiovascular risks assessment

Authors: Gusev A.V., Kuznetsova T.Yu., Korsakov I.N.

Journal of Telemedicine and E-Health • №3 2018
4 718

The basic recommendations for the creation and development of information systems in health care based on artificial intelligence

Authors: Gusev A.V., Pliss M.A.

Information technologies for the Physician * №3 2018
4 921

Artificial Intelligence in Medicine and Healthcare

Authors: Gusev A.V., Dobridnyuk S.L.

4 373

Prospects for neural networks and deep machine Learning in creating health solutions

Authors: Gusev A.V.

Information technologies for the Physician *№3 2017
4 960

Clinical Decisions Support in medical information systems of a medical organization

Authors: Gusev A. V., Zarubina T. V.

Information technologies for the Physician * №2 2017
All Publications

Media about us

Independent opinions about our product

02/05/2023 •

Experts Medical institutes PETRGU, PETROZAVODSK STATE UNIVERSITY, FEDERAL STATE-FUNDED EDUCATIONAL INSTITUTION FOREIGN ECONOMIC ASSOCIATION "PETROZAVODSKY STATE UNIVERSITY" together with the IT company LLC "K-SKAY" (the resident Fund "Skolkovo", the developer of the Webiomed platform) developed mathematical model for the forecast of developments asymptomatic atherosclerosis of carotids at patients with obesity and excess weight.

The algorithm of the exact forecast for asymptomatic atherosclerosis of carotids was created in Russia

12/04/2023 • cnews

The medical medical and diagnostic center "MiG" and the Company "K-Skye", the developer of the Webiomed platform, Artificial intelligence for analyses the depersonalized medical data and forecasting of developments diseases of patients started the joint project of introduction of technologies. It increases efficiency the profilakticheskoymeditsinsky helps. Representatives reported about this CNews "Skolkovo". With help algoritmovWebiomed already it was analysed from above 4000obezlichennykh electronic medical records of the MiG center: weight, growth, age, rezultatyuzi IEKG, texts of medical examinations, data of the laboratory...

AI from a Skolkovo resident helped reduce the risk of developing cardiovascular diseases

10/02/2023 • nationalprojects.rf

Developers from Russia, with the support of the Science and Universities national project, have taught artificial intelligence (AI) to analyze data from an electronic medical record, taking into account indicators collected by remote monitoring, ANO National Priorities reported.

Artificial intelligence was taught to analyze diagnoses in Russia

24/01/2023 • None


10/01/2023 •

A new approach in diagnostic aproach is being developed by K-Sky and MTP Newdiamed together with the Moscow City Scientific Society of Therapists

AI-based medical diagnostics will appear in Russia in 2023

29/12/2022 •

RB.RU Presents the first issue of RB Choice, an annual special project in which we select 100 promising Russian companies.

RB CHOICE — 100 promising Russian startups

10/11/2022 • russian.rt


03/11/2022 •


20/10/2022 •


06/09/2022 • None


24/06/2022 • None


31/05/2022 • None


12/05/2022 •

K-Skai a resident of the Skolkovo Foundation, became the first Russian company in the field of artificial intelligence in medicine, which received a quality management system (QMS) certificate of compliance with ISO 13485:2016.

K-Skai received a a EAEU certificate of conformity

01/04/2022 •

Over the past two years, investments in Russian high-tech medicine is almost $ 100 million. RBC Trends found out what products and services already exist in the market and what the industry expects in the future

What is MedTech and how it changes our lives

23/03/2022 •

The development of a digital expert module is carried out at the Laboratory of Artificial Intelligence in Medicine, opened at the Scientific and Educational Center for High Biomedical Technologies of the Medical Institute of PetrSU as part of the modernization of the Unique Scientific Installation. The UNU project is being implemented in the cooperation of PetrSU and K-Sky, a resident of the Skolkovo Foundation.

Medical Decision Support Module

13/03/2022 •

The best five projects of the Future Healthcare accelerator was named in Moscow, they can be further integrated into the capital's healthcare system.

The winners of the medical startups accelerator were chosen in Moscow

15/02/2022 •

Chief Business Development Officer Webiomed and the leading expert in artificial intelligence of the "Central Research Institute for the Organization and Informatization of Healthcare" of the Ministry of Health of Russia Alexander Gusev spoke about how people will monitor our health in the future.

Gadgets instead of doctors: what the healthcare system is turning into in the future

14/02/2022 • Forbes

A cloud system based on artificial intelligence (AI) was created by entrepreneurs from Karelia Alexander Gusev and Roman Novitsky. Webiomed analyzes de-identified information about patients from electronic medical records, predicts the likelihood of complications and makes recommendations for treatment. Based on its platform, the company also conducts research for pharmaceutical giants such as AstraZeneca, Takeda and Sanofi.

Health Forecast: How Karelia MedTech Startup Attracts AstraZeneca's Attention

17/01/2022 •

The international biopharmaceutical company AstraZeneca and K-Skai, a resident of the Skolkovo Foundation, signed a memorandum on the joint implementation of the project “Improving the diagnosis of chronic kidney disease through the development and implementation of a medical decision support system”.

Artificial intelligence will help detect kidney disease at an early stage

14/01/2022 • None

Webiomed is a system for automatic analysis of de-identified medical data. The system analyzes various medical data, identifies risk factors and suspicions of diseases, forms forecasts based on them, containing a comprehensive assessment of the likelihood of developing various diseases and the patient's death from them.

Top 10 companies from Skolkovo that deserve your attention

17/12/2021 •

The European Conference of the World Health Organization on Combating Noncommunicable Diseases using Digital Healthcare Solutions was held in Moscow on December 14 and 15. Alexander Gusev made a presentation on the topic "Using artificial intelligence to reduce preventable morbidity and mortality from non-communicable diseases in the Russian Federation"

An expert from Petrozavodsk spoke about artificial intelligence in medicine at the WHO conference

13/12/2021 •

The use of artificial intelligence (AI) in medicine is a leading trend in global healthcare. AI technologies not only simplify the lives of patients and doctors by performing tasks faster and cheaper, but also sometimes diagnose better and more accurately. We are talking about five medical developments from Skolkovo, in which AI algorithms are used.

Medicine of the future: 5 developments based on artificial intelligence from Skolkovo

02/12/2021 •

December 2nd. The organizing committee of the National Prize in the field of advanced technologies "Priority - 2021" announced the winners of the competition.

The winners of the "Priority - 2021" award were announced in Moscow

02/11/2021 •

The unique scientific installation (UNU) of Petrozavodsk State University (PetrSU) will be used by doctors in medical institutions of Karelia as a medical decision support system by the end of 2021.

Doctors of Karelia will have access to the medical decision support system

06/10/2021 • it-world

One of the already awarded Russian IT industries is the IT Stars award named after V.I. George Gens ( The organizer of the LANIT award. The award bears the name of the founder of the company, on whose initiative the IT Stars award was conceived. Among the finalists is the project "Using artificial intelligence technology to identify patients at high risk of developing cardiovascular diseases in the Kirov region."

Star Alignment

10/09/2021 •

This study was compiled to assess the Russian market for AI start-ups in the field of healthcare and assess their potential.

AI Startup Ranking: Prospects for Russian Healthcare

02/09/2021 •

Over the past year and a half, almost as much money was invested in digital medicine as during the entire period of the industry's formation. Remote consultations, AI and a robot as an assistant are already the realities of healthcare.

The main trends of the Russian MedTech market

09/06/2021 • Izvestia

By the end of this year, the Electronic Clinical Examination project will be launched in Russia. The project is aimed at diagnosing rare (orphan) genetic diseases. Diseases will be identified on the basis of electronic health records with the application of artificial intelligence technologies.

A project to identify rare genetic diseases using AI will be launched in Russia

20/04/2021 •

Webiomed, the predictive analytics platform based on machine learning has got the status of an “Other Information System”

Artificial intelligence will help doctors to diagnose more precisely

20/04/2021 • Kommersant

The leader of the Russian market of medical information systems, RT Medical Information Systems (RT MIS, a part of the Rostelecom group of companies) and K-SkAI, a resident of the Skolkovo Foundation, have signed an agreement on cooperation in the field of artificial intelligence.

RT MIS and K-SkAI are launching a smart platform for healthcare

23/12/2020 • RUSBASE

Over the ten years of its existence, the Skolkovo Foundation has changed the domestic market for startups and innovative technologies radically. On the occasion of the Foundation's anniversary, Rusbase talked to four promising residents.

4 Russian startups that are changing our lives right now

19/10/2020 • Republic portal

Specialists of the Republic of Karelia are launching a system that will soon help physicians in any clinic to make correct diagnoses for patients long before the signs of the disease become obvious. Denis Gavrilov, Webiomed Chief Medical Officer and a cardiologist, have spoken about the system.

In the fight against an invisible enemy

22/07/2020 • Skolkovo

К-SKAI Company has attracted more than $1,8 million of private investment for the Webiomed project development and expansion to international markets.

Webiomed, a resident of Skolkovo has attracted more than $1,8 million of private investment

21/07/2020 • Ministry of Health of the Russian Federation

The pilot implementation of the clinical decision support system has been completed in medical organizations of the Kirov region of Russia. The developers have carried out two scientific studies, analyzed the results and the effectiveness of the system. According to the governor of the Kirov Region, the implementation of the pilot project was the first step to the healthcare of the future, which will focus on early detection of diseases and saving human life with the use of artificial intelligence.

Artificial intellegence is being used in the healthcare of Kirov region

19/06/2020 • EverCare

The introduction of CDSS in clinical care raises a number of legal challenges for healthcare providers and developers of artificial intelligence systems in Russia and around the world. The first regulatory documents have already been adopted, but the legislation in this area is still at the formation stage. Alexander Gusev, Chief Business Development Officer of Webiomed, spoke about the process of CDSS registration.

Experience of the first registration of the WSSP in Russia

11/06/2020 • Skolkovo Foundation

How Skolkovo Ventures helps startups to rebuild themselves in the new business reality

Stanislav Kolesnichenko: Skolkovo Ventures helps startups to rebuild in a new business reality

22/04/2020 • None

Roszdravnadzor has registered the Webiomed clinical decision support system as a medical device. It became the first software product with artificial intelligence that has passed technical and clinical trials and received permission for use in Russian hospitals and clinics. The Webiomed system was developed by the K-SkAI Group of Companies, a resident of the Skolkovo Foundation.

Artificial intelligence from a Skolkovo resident was registered as a medical device

12/08/2019 • Zdrav.fom

Artificial intelligence identified 67 people who needed additional examination and treatment. As it turned out, AI found that these people had a very high risk of heart attack or stroke. Now doctors are conducting in-depth examination and treatment of these patients. That is, the use of Webiomed made it possible to identify those who need additional attention from doctors.

AI will help Yamal physicians to identify dangerous diseases at an early stages

12/08/2019 • MIBS

In early 2019, the Association of Developers and Users of Artificial Intelligence in Medicine "National Medical Knowledge Base" conducted a pilot project in the Yamalo-Nenets Autonomous Okrug, testing two products - the Webiomed system of the K-MIS company (for prevention of cardiovascular diseases) and the Botkin AI of the Intellogic company (to search for foci of the disease using CT of the lungs).

Does Russia have artificial intelligence?

13/07/2019 • Rossiyskaya Gazeta

Yamal became the first large platform for testing artificial intelligence in medicine in Russia. The results have amazed specialists: in just two and a half months, the machine mind examined 30 thousand electronic health records of the hospital in Muravlenko town, which is almost the entire population of the town.

Can artificial Intelligence replace phycisians?

06/05/2019 • National Technology Initiative (NTI)

Artificial intelligence has increased the detection of risk factors for cancer. The phenomenal result was discussed today by Russian medical big names in Salekhard.

How artificial intelligence can help physicians in their work

10/04/2019 • Rossiyskaya Gazeta

In clinical trials, the robot analyzed nearly 30,000 of the hospital's electronic health records. In fact, this is almost the entire population of Muravlenko, which has 32 thousand inhabitants. In a third of cases, patients with a high and very high risk of developing cardiovascular diseases were identified. Now doctors are inviting them for an in-depth examination.

Artificial intelligence has examined 30,000 patients

10/04/2019 • COMNEWS

In Yamal, two projects have been implemented at once to introduce a clinical decision support system into clinical practice in oncology and preventive medicine. Artificial intelligence is unable to make a diagnosis, but it helps doctors notice neoplasms at an early stage when they are treatable, and suspect a high risk of heart ailments. So, out of 600 images of Yamal patients processed by the system, 45 people were suspected of having an oncological pathology. In the Muravlenko town hospital, after processing 30 thousand electronic health records, following the results of medical examination, it turned out that a third of them have a high risk of developing cardiovascular diseases. The obtained results are very useful to further reduce morbidity and mortality from CVDs.

Yamal is among the pilot regions that began to implement AI in healthcare

09/04/2019 • Ministry of Health of Russian Federation

A Research and Practice conference dedicated to the topic of artificial intelligence in medicine has ended in Salekhard. Its implementation in the industry has been actively discussed over the past few years. Experts, developers, and big names of science gathered in Salekhard to discuss aspects of applying AI in practice.

AI will help Yamal physicians to identify dangerous diseases at early stages

09/04/2019 • Yamal government

Clinical decision support systems based on artificial intelligence should be actively implemented throughout the entire healthcare industry in the Arctic region. This proposal was the result of the discussion of the pilot project results at the "Artificial Intelligence in Medicine" Research and Practice conference held in Salekhard.

Yamal government decides to expand AI implemetation

06/04/2019 • Komsomolskaya pravda

Artificial intelligence helps Yamal physicians to detect cancer at an early stage. Since the beginning of 2019, the Webiomed system has been undergoing clinical trials at the Muravlenkovo City Hospital. The first results are very encouraging.

Artificial Intelligence helps Yamal physicians to identify early-stage cancer

05/04/2019 • TOPNEWS

For the pilot project, a hospital in Muravlenko town was selected, where there is a large database of electronic medical records and an information system that can adapt to work with artificial intelligence. AI was able to process electronic health records of the entire hospital population (25 thousand patients) in just 123 hours or about 5 days. The average processing time for 1 patient ranged from 30 seconds to 2 minutes (depending on the volume of the EHR).

Can artificial Intelligence replace human doctors?

05/04/2019 • SEVERPRESS

Artificial intelligence in Muravlenko has helped to identify dozens of patients to risk groups. The pilot project of artificial intelligence in Yamal was launched in Muravlenko in December 2018, the actual work was carried out for three months. During this time, the city hospital was connected to the artificial intelligence system, there are first results.

Artificial Intelligence in Muravlenko town helped to detemine dozens of patients at risk

05/04/2019 • VESTI YAMAL

At the end of last year, the Muravlenkovo hospital was connected to the artificial intelligence system. More than 1 300 thousand medical electronic documents of twenty-five thousand citizens were processed. Based on the data, patients at risk for cardiovascular diseases were identified. Many of them were previously not registered and did not come to the hospital.

The "Artificial Intelligence in Medicine" Research-to-Practice conference was held in Salekhard

Awards and Achievements



Фонд "Сколково"
Национальная технологическая инициатива
Сеченовский университет
Центр медицинской профилактики ЯНАО
МИС Поликлиники ОАО Кондопожский ЦБК
Петрозаводский государственный университет
Национальная база медицинских знаний
ФГБОУВО "Сибирский государственный медицинский университет" Минздрава РФ

Join us

We are in social networks

Our blog

Artificial intelligence in medicine

17 Июл 2021  |   2 711

Overview of Russian investments in digital health

Update date: July 17, 2021 On the one hand, today digitalization of medicine and healthcare …

05 Июл 2021  |   1 416

Predictive analytics in healthcare systems

EverCare has published an analytical report on predictive analytics in healthcare systems of Russia and …

17 Мар 2021  |   1 757

Predictive analytics for perinatal risk and artificial intelligence

Currently, there is an increased interest in the application of artificial intelligence (AI) technologies in …

15 Мар 2021  |   2 579

Overview of Russian AI products in healthcare

Update date: 15 March 2021 According to Markets And Markets, the global healthcare artificial intelligence …

06 Окт 2020  |   2 300

Interpreting Machine Learning Results

Albert Einstein: "If you can’t explain it to a six-year-old, you probably don’t understand it …

21 Июл 2020  |   1 926

Implementation of the National Strategy for Artificial Intelligence in Healthcare

By Decree of the President of Russia No. 490 of 10.10.2019, the National strategy for …

08 Июл 2020  |   2 678

Basic metrics of classification problems in machine learning

Each machine learning problem poses the question of evaluating the model results. Without the introduced criteria, …

01 Июл 2020  |   2 109

Cardiovascular diseases and COVID-19

In March of 2020, the Webiomed team received an order to add to the system …

05 Июн 2020  |   2 661

Application of NLP for extraction of information from Electronic Health Records

Electronic health records (EHR) represent the basis for the automation of a medical organization. Recently, …

28 Апр 2020  |   2 036

Why do we need risk scores and decision rules in Webiomed?

Recently, especially after the news on the registration of Webiomed as a medical device, we …

20 Сен 2019  |   4 683

The map “Artificial Intelligence in Russian Health Care”

One of the most promising areas of digital health development is artificial intelligence. There are …

16 Июл 2019  |   3 977

What Russian healthcare managers are thinking about artificial intelligence

Although the AI pilot projects are still rare, the vast majority of Russians healthcare leaders are aware …

05 Окт 2018  |   3 293

Report: Artificial Intelligence in Russian Medicine: Decision Support Systems

Annotation of the “Artificial Intelligence in Russian Medicine: Decision Support Systems” report, published on the …

28 Авг 2018  |   6 235

On registration of Clinical Decision Support Systems as Medical Devices

The key area of ​​digital healthcare is the use of Clinical Decision Support Systems (CDSS), …

30 Июн 2018  |   3 176

About the Artificial Intelligence in Medicine. Digital Health session

On June 26-28, the National Consilium of Honored Doctors of Russia was held in Moscow. The …

All articles

Our news

WEBIOMED project development

01 Мар 2022  |   848

The Webiomed project was presented to the pharmaceutical industry

On February 22, 2022, an online meeting organized on the initiative of the AIPM Working Group on Real World Evidence (RWE) and K-SkAI (Webiomed project) …

21 Фев 2022  |   746

We took part in the OpenTalks.AI conference


18 Фев 2022  |   760

We took part in the Vademecum MedDay congress


18 Янв 2022  |   1 087

Artificial intelligence for verification of atherosclerosis of brachiocephalic arteries

All news

Subscribe to our newsletter

Are you interested in digital healthcare and artificial intelligence for medicine? Join our mailing list!