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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Clinicians

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.

PHYSICIAN ASKS CDSS FOR ADVICE

EHR sends the data set to WEBIOMED

WEBIOMED Identifies risk factors and predicts complications

INDIVIDUAL RECOMMENDATIONS FOR BOTH PATIENT AND DOCTOR

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.

THE RESPONSE FROM WEBIOMED IS SENT BACK TO EHR

YOU CAN SEE THE RESULTS IN THE EHR

Webiomed presentation

Accumulated data

Digital twins

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Cases

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Medical records

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Identified features

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Publications

Exploring Artificial Intelligence

48

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.

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168

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

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

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164

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.

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116

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

Gusev AV, Vladzymyrskyy AV, Gavrilenko GG.

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168

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.

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253

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.

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194

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

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

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408

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

Rebrova O.Yu., Gusev A.V.

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236

Artificial intelligence in the Healthcare of Russia. Laboratory Role

Authors: None

Laboratory Service
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423

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.

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282

Artificial intelligence on the doorstep of the laboratory

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

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280

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.

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650

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.

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878

Prospects for the use of big data in Russian healthcare

A. Gusev

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870

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

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996

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.

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614

None

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

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848

Predictors of endometriosis in infertility

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

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1 353

Machine learning based on laboratory data for disease prediction

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

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1 238

The role of artificial intelligence in predicting preterm birth

Ivshin AA, Boldina YuS, Gusev AV.

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2 008

Healthcare in the smartphone: the situation in Russia

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

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2 173

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

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2 183

Predicting preeclampsia using artificial intelligence technologies

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

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1 762

Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy

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

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2 304

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.

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2 194

Ethics and digital: from problems to solutions

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

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2 328

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

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

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2 279

Artificial intelligence on guard of reproductive health

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

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2 693

Correctness of cardiovascular risk assessment in daily clinical practice

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

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3 086

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

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

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2 951

Artificial intelligence: predictive analytics of perinatal risks

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

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3 291

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

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2 852

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.

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2 790

CARDIOVASCULAR DISEASES PREDICTION BY INTEGRATED RISK FACTORS ASSESSMENT BY MEANS OF MACHINE LEARNING

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

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3 029

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

 

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2 791

Feature Extraction Method from Electronic Health Records in Russia

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

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2 291

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
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2 303

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
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2 565

Artificial intelligence for cardiovascular risks assessment

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

Journal of Telemedicine and E-Health • №3 2018
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2 880

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
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2 903

Artificial Intelligence in Medicine and Healthcare

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

INFORMATION SOCIETY* №4 2017
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2 529

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

Authors: Gusev A.V.

Information technologies for the Physician *№3 2017
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2 995

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
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All Publications

Media about us

Independent opinions about our product

12/05/2022 • hightech.plus

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 • trends.rbc.ru

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 • petrsu.ru

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 • rbc.ru

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 • dp.ru

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 • cnews.ru

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 • karelia.news

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 • vc.ru

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 • tass.ru

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 • nauka.tass.ru

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 (www.itstars-award.ru). 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 • evercare.ru

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 • rbc.ru

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 • cnews.ru

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

2022
Почетный знак  Главы Республики Карелия «За вклад в развитие Республики Карелия»
Badge of honor of the Head of the Republic of Karelia "For contribution to the development of the Republic of Karelia"

K-Sky (the developer of the Webiomed platform) was awarded the badge of honor of the Head of the Republic of Karelia “For contribution to the development of the Republic of Karelia.

Первый российский разработчик системы искусственного интеллекта для здравоохранения, получивший международный сертификат соответствия на СМК
None

Победитель премии Data Awards 2022
Data Awards 2022 Winner

This is the first and only award in Russia for data-driven organizations and Chief Data Officers (CDOs). The main goal of the award is to popularize the most significant achievements in the field of working with data in companies in Russia and the CIS countries.

Winner of the MedLAB Innovation Lab
Winner of the MedLAB Innovation Lab

The Skolkovo Foundation has announced the winners of the MedLAB Innovation Laboratory acceleration program for startups working in the field of Digital Health.

Data Fusion Awards 2022 Winner
Data Fusion Awards 2022 Winner

Data Fusion Awards is the first all-Russian cross-industry award in the field of big data. In the special nomination Data Fusion Rising Stars from the Skolkovo Foundation, companies that have been operating on the market for no more than 5 years and are developing technological solutions based on the Data Fusion approach could take part.

Future Healthcare accelerator winner
Future Healthcare accelerator winner

The Moscow Center for Innovative Technologies in Healthcare and Medsi have identified the best startups of the Future Healthcare accelerator. Among the winners is the Webiomed project.

K-Sky in the register of "100 best enterprises in Russia"
K-Sky in the register of "100 best enterprises in Russia"

As part of the administration of the Federal Registers of Rosstandart, monitoring and independent expert evaluation of organizations in the Russian Federation, experts from the Research Institute for Social Development and Entrepreneurship came to the conclusion that LLC "K-Sky" complies with the status of "100 Best Enterprises of Russia".

2021
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.

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 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.

Winner of the IP Russia Awards 2021 in the Best Innovative Project nomination
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.

Laureate of the Priority-2021 National Prize in the Artificial Intelligence nomination.
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.

Healthcare & Pharmaceutical Awards 2021 Winner
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.

Finalist of the IT Stars award named after George Gens 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.

A nominee of the Priority 2021 National Prize
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.

2020
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 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.

Prizewinner of the 'Safety of medical devices for the benefit of people' contest
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.

The winner of the Smart Clinic Technologies competition
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.

The winner of 'Personalized Medicine' special category of Roche company
The winner of 'Personalized Medicine' special category of Roche company

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

Winner in the competition of innovative projects in the field of healthcare organized by Sanofi and the Skolkovo Foundation
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.

Winner of 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.

Laureate of The best IT Solution for healthcare 2020 contest
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.

Winner in the 'Digital Healthcare Solutions' nomination
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.

A nominee of the Priority 2020 National Prize
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.

Winner of the '100 ideas for the development of Karelia' innovation competition
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.

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WEBIOMED project development

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The Webiomed project was presented to the pharmaceutical industry

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