Artificial intelligence will be used to make 10 diagnostic reserchestests

November 26, 2020
Science and innovation

Next year, the number of AI-based researches will increase to 10, according to Deputy Mayor for Social Development Anastasia Rakova.

“In 2019, we launched an experiment to introduce artificial intelligence and digital vision research in Moscow healthcare. We are satisfied with its results and will expand its framework. Next year we will offer 10 such researches. We are looking into several other fields of automated test analysis, including magnetic resonance imaging (MRI) and computed tomography (CT) of the brain, as well as X-rays of bones and joints and abdominal organs, to mention just a few,” Rakova noted.

The necessary infrastructure for introducing this technology has already been created.

AI helper

The incorporation of AI platforms into the Unified Radiological Information Service (URIS) has allowed using them for four radiological tests: CT, mammography, X-ray diagnostics and fluorography. These tests are used to diagnose lung cancer, pneumonia and other pulmonary pathologies, breast cancer and COVID-19.

The first results have shown that the use of AI platforms has increased the quality and speed of tests, helping doctors identify high-risk pathologies amid an enormous number of tests made.

New spheres for AI platforms

The experiment can expand into other areas, such as cancer diagnosis, cardiology, pulmonology and neurology, as well as the diagnosis of chronic diseases and emergencies. In addition, AI algorithms can already be used to evaluate MRIs for signs of multiple sclerosis and will be used in the future to diagnose strokes and other pathologies.

“AI services are being used for the most widely used tests, helping to ease pressure on doctors and reduce the risk of overlooking pathologies amid an increasing number of patients. These digital assistants are used mostly to help young doctors, but experienced professionals are not averse to using them either. We have come to the conclusion that we need to add a prioritisation function for pathology tests to the algorithm, as well as medical conclusion templates,” noted Sergei Morozov, chief radiology and instrumental diagnostics specialist at Moscow’s Healthcare Department and director of the Centre for Diagnostics and Telemedicine.

The experimental introduction of AI platforms in the Moscow healthcare system began in late 2019. It was one of the first open initiatives to encourage innovative companies to create and implement high-tech services in the social sphere.


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