AI-enabled predictive analytics and risk assessment in healthcare

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

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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
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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
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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
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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
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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
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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


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.


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.


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

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


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

Rebrova O.Yu., Gusev A.V.


Artificial intelligence in the Healthcare of Russia. Laboratory Role

Authors: None

Laboratory Service

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.


Artificial intelligence on the doorstep of the laboratory

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


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.


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.


Prospects for the use of big data in Russian healthcare

A. Gusev


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


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.



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


Predictors of endometriosis in infertility

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

1 236

Machine learning based on laboratory data for disease prediction

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

1 133

The role of artificial intelligence in predicting preterm birth

Ivshin AA, Boldina YuS, Gusev AV.

1 874

Healthcare in the smartphone: the situation in Russia

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

2 042

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

2 030

Predicting preeclampsia using artificial intelligence technologies

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

1 655

Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy

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

2 132

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.

2 104

Ethics and digital: from problems to solutions

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

2 215

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

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

2 180

Artificial intelligence on guard of reproductive health

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

2 568

Correctness of cardiovascular risk assessment in daily clinical practice

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

2 915

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

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

2 828

Artificial intelligence: predictive analytics of perinatal risks

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

3 137

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

2 728

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.

2 654


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

2 872

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


2 691

Feature Extraction Method from Electronic Health Records in Russia

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

2 202

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
2 215

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
2 439

Artificial intelligence for cardiovascular risks assessment

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

Journal of Telemedicine and E-Health • №3 2018
2 784

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
2 776

Artificial Intelligence in Medicine and Healthcare

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

2 445

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

Authors: Gusev A.V.

Information technologies for the Physician *№3 2017
2 882

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

12/05/2022 •


01/04/2022 •


23/03/2022 •


13/03/2022 •


15/02/2022 •


14/02/2022 • None


17/01/2022 •


14/01/2022 • None


17/12/2021 •


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02/12/2021 •


02/11/2021 •


06/10/2021 • it-world


10/09/2021 •


02/09/2021 •


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

Почетный знак  Главы Республики Карелия «За вклад в развитие Республики Карелия»

Первое место в российском рейтинге ИИ-стартапов в секторе здравоохранение
Webiomed is a leading Russian startup in the field of artificial intelligence for healthcare

Webiomed machine learning-based predictive analytics and risk assessment platform for healthcare, took first place in the Russian ranking of AI startups in the healthcare sector, according to a study published on the Evercare portal.

Первый искусственный интеллект для здравоохранения  в России, зарегистрированный как медицинское изделие
The first software using artificial intelligence for healthcare which was registered as a medical device in Russia

April 3, 2020: The Federal Service for Surveillance in Healthcare of the Russian Federation (Roszdravnadzor) has approved Webiomed CDSS as a medical device.

Победитель премии Data Awards 2022

Первый российский разработчик системы искусственного интеллекта для здравоохранения, получивший международный сертификат соответствия на СМК

Первая система искусственного интеллекта для здравоохранения, зарегистрированная Правительством РФ в качестве "Иной информационной системы"
The first Russian development in artificial intelligence for healthcare connected to the State Health Information System

The status of Other information system was introduced by The Presidium of the Commission of the Government of the Russian Federation on the use of information technologies in order to improve the conditions for business on the basis of the Resolution No. 447 "Rules for the interaction of information systems in healthcare" approved by the Government in 2018.

Победитель «Лаборатории инноваций MedLAB»

Победитель премии Data Fusion Awards 2022

Победитель акселератора Future Healthcare

К-Скай в реестре «100 лучших предприятий России»

Победитель премии «Технологический прорыв 2021»
Breakthrough (TechnoProryv) 2021 Award Winner

The prize is awarded to project leaders, researchers, and product developers for their significant contribution to the development of the domestic technology business and significant achievements in the technological development of the country at the end of 2021.

Победитель IP Russia Awards 2021 в номинации «Лучший инновационный проект».
Winner of the IP Russia Awards 2021 in the Best Innovative Project nomination

The prize is awarded to identify the best professionals in the field of intellectual property, the continuous development of best practices, and the identification of organizations that have achieved success in the field of working with IP. The award was established by the Organizer of the Intellectual Property Forum, infor-media Russia company.

Лауреат Национальной премии «Приоритет-2021» в номинации «Искусственный интеллект».
Laureate of the Priority-2021 National Prize in the Artificial Intelligence nomination.

The purpose of the award is to identify the best solutions and organizations that have achieved significant success in import substitution in Russia.

Победитель премии Healthcare & Pharmaceutical Awards 2021
Healthcare & Pharmaceutical Awards 2021 Winner

Webiomed is included in the list of winners of the Healthcare & Pharmaceutical Awards 2021 as the Most Reliable Digital Health Risk Platform - Northwest Russia.

Финалист премии IT Stars им. Георгия Генса 2021
Finalist of the IT Stars award named after George Gens 2021

The project "Application of artificial intelligence technology to identify patients at high risk of developing cardiovascular diseases in the Kirov region", implemented by the government of the Kirov region together with K-SkAI LLC (the developer of the Webiomed predictive analytics platform) was included in the list of finalists for the Georgy Gens IT Stars Award in the Innovative project in healthcare category.

Номинант Национальной  премии «Приоритет 2021»
A nominee of the Priority 2021 National Prize

The K-SKAI LLC, the developer of the Webiomed predictive analytics system, was nominated for the award in two categories: Medicine and Health Care, Artificial Intelligence.

Победитель в категории "Прорыв года" премии Digital Health Awards 2020
Winner in the "Breakthrough of the Year" nomination of Digital Health Awards 2020

Webiomed won the Breakthrough of the Year nomination in the Digital Health Awards. It is a Russian award for the best achievements in the field of digital medical technologies.

Победитель конкурса «Стартап-ралли»-2020 в номинации "Цифровая медицина"
Winner of the Digital Health nomination of Startup Rally 2020

Startup Rally is a competition for innovative developments in the field of new drugs and medical devices, which was organized at the initiative of the Ministry of Industry and Trade of Russia.

Призер конкурса "Безопасность медицинских изделий - на благо людей"
Prizewinner of the 'Safety of medical devices for the benefit of people' contest

According to the results of the competition, K-SkAI took second place in 'Safety of medical devices for the benefit of people' contest.

Победитель конкурса «Технологии умной клиники»
The winner of the Smart Clinic Technologies competition

The purpose of the competition is to find innovative solutions in the field of automation, optimization and digitalization of various aspects of medical care, which are ready for implementation and distribution, in order to achieve the objectives of the National Technological Initiative.

Победитель в спецноминации "Персонализированная медицина" от Roche
The winner of 'Personalized Medicine' special category of Roche company

The special 'Personalized Medicine' category was established in partnership with Roche.

Победитель конкурса инновационных проектов в области здравоохранения Sanofi совместно с Фондом "Сколково"
Winner in the competition of innovative projects in the field of healthcare organized by Sanofi and the Skolkovo Foundation

Webiomed project was among the three winners of the competition.

Победитель коммерческого трека AstraZeneca Skolkovo StartUp Challenge 2020
Winner of AstraZeneca Skolkovo StartUp Challenge 2020

The Webiomed project is the winner of the commercial track of the AstraZeneca Skolkovo StartUp Challenge 2020 acceleration program, which was held by the Skolkovo Foundation and the AstraZeneca International Biopharmaceutical Company.

Лауреат конкурса «Лучшее ИТ решение для здравоохранения 2020»
Laureate of The best IT Solution for healthcare 2020 contest

Webiomed became laureate of The best IT Solution for healthcare 2020 of the Information Technologies in Medicine 2020 international congress.

Победитель в номинации «Цифровые решения для здравоохранения»
Winner in the 'Digital Healthcare Solutions' nomination

The Webiomed system was recognized as the winner in the "Digital solutions for healthcare" nomination of the competitive selection organized by the "Analytical Center for the Government of the Russian Federation" Autonomous Nonprofit Organization together with the Ministry of Digital Development, Communications and Mass Media of the Russian Federation. Webiomed will be included to the Bank of digital solutions and practices recommended for distribution in Russian regions.

Номинант Национальной  премии «Приоритет 2020»
A nominee of the Priority 2020 National Prize

K-SkAI, the developer of Webiomed predictive analytics system, was nominated for the award in the Medicine and Health Care and Technology Startup categories.

Победитель конкурса инноваций «100 идей для развития Карелии»
Winner of the '100 ideas for the development of Karelia' innovation competition

Webiomed, an artificial intelligence project for healthcare, won the Innovation in Priority Areas category and was recognized as the best idea of the competition. The competition was organized with the support of the Venture Investment Fund of the Republic of Karelia and the Ministry of Economic Development of the Republic of Kazakhstan.

Лауреат конкурса «Лучшее ИТ решение для здравоохранения 2019»
Laureate of the 'The best IT Solution for healthcare' contest

For the Webiomed CDSS in the framework of the international congress #ITM2019

Призер в номинации: «Лучший инновационный проект»
Prize winner in the 'Best Innovative Project' nomination

The "Implementation of artificial intelligence systems for medicine" project (Yamal-Nenets Autonomous Okrug) won the "Best Innovative Project" nomination of the PROF-IT.2019 contest.

Номинант на гран-при как «Стартап года» премии Digital Health Awards 2019
Grand Prix nominee as the Startup of the Year at the Digital Health Awards 2019

Webiomed CDSS was among the nominees for the Grand Prix of the Digital Health Awards as the Startup of the Year.


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

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Artificial intelligence in medicine

17 Июл 2021  |   1 463

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  |   719

Predictive analytics in healthcare systems

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

17 Мар 2021  |   958

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  |   1 329

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  |   1 411

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  |   1 066

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  |   1 488

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  |   1 363

Cardiovascular diseases and COVID-19

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

05 Июн 2020  |   1 522

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  |   1 314

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  |   3 180

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  |   2 840

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  |   2 457

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  |   3 321

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  |   2 317

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 …

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WEBIOMED project development

17 Ноя 2021  |   420

Webiomed platform was localized for English-speaking countries

The new version of Webiomed, which our team is preparing to release to the market, is localized for English-speaking countries. Software localization is the process …

01 Ноя 2021  |   383

We took part in the Russian National Congress of Cardiology 2021


26 Окт 2021  |   346

Webiomed platform updated Webiomed.NLP unstructured medical records analysis service


25 Окт 2021  |   457

On the future of medicine, machine learning, and AI in the book "Artificial Intelligence in Medicine" by Eric Topol

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