AI-enabled predictive analytics and risk assessment in healthcare

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

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

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

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.

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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

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

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

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.

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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

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

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).

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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?

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

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

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

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

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

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

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?

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

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