"We continue to expand the Moscow experiment

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The algorithm is able to find signs of six pathologies at once on a single CT scan image, for the identification of which Moscow doctors have not previously used neural networks. These include urolithiasis, as well as liver and kidney tumors. This was reported by Anastasia Rakova, Deputy Mayor of Moscow for Social Development.

on the introduction of computer brazil whatsapp resource vision in radiation diagnostics. Another, already the fifth, complex artificial intelligence service has started working, which finds signs of six diseases in CT images of abdominal organs. Neural networks analyze the image to identify neoplasms of the adrenal glands, compression fractures of the vertebral bodies, aneurysms of the abdominal aorta, as well as in three new areas - diagnostics of urolithiasis, liver and kidney neoplasms. The key advantage of the complex service is that artificial intelligence will draw the doctor's attention even to those pathologies that are not the subject of examination," said Anastasia Rakova.

She added that the new comprehensive service is the first to detect six abdominal diseases. The others are aimed at diagnosing chest pathologies. One of them is able to find signs of 10 pathologies on a CT scan. Among them are adrenal tumors, lung cancer, pulmonary hypertension, pneumonia, osteoporosis and wedge-shaped deformation of the vertebral bodies, thoracic aortic aneurysm, hydrothorax, pulmonary emphysema, ischemic heart disease by the degree of coronary artery calcification and the volume of paracardiac fat. Two comprehensive services determine signs of seven pathologies, and one - eight.

"The first step in opening an experimental area is to determine its demand in the conditions of the city's public healthcare system. We analyze the number of studies conducted in a year in medical organizations of the Moscow Department of Health, determine the most frequently performed of them and the most detected pathologies. Then we announce on the project website the areas in which we are ready to accept intelligent developments for participation in the experiment, publish diagnostic and functional requirements for them. Developers create solutions, then we test them, and if the test results are successful, the service is allowed to work with real studies that are conducted in Moscow medical organizations. Thus, radiologists have access only to proven artificial intelligence services in popular areas," said Yuri Vasiliev, chief radiologist of Moscow, director of the Diagnostics and Telemedicine Center of the Moscow Department of Health.

Neural networks are used to process images of radiation studies obtained during fluorography, mammography, radiography, computer and magnetic resonance imaging. Today, the project includes more than 50 services based on artificial intelligence in 26 areas of research that help radiologists recognize various diseases.

The algorithms are part of an experiment to introduce computer vision technologies into healthcare. The project is being implemented by the Moscow Social Development Complex together with the Moscow Department of Information Technology based on the Center for Diagnostics and Telemedicine, an advanced scientific and practical organization within the Moscow Department of Health, founded in 1996. The center specializes in high-precision diagnostics based on radiation studies, organizing the work of departments in medical institutions, and improving the quality of diagnostic studies through standardization of work. In addition, it is engaged in the dissemination of best medical practices and the introduction of innovative technologies in medical institutions not only in Moscow, but also in other regions of Russia.