Radiologists Analyzed over a Million Examinations using Artificial Intelligence

July 23

Since the beginning of 2021, artificial intelligence (AI) has analyzed more than a million radiological examinations performed in Moscow hospitals and clinics. This was reported in the press service of the Moscow Social Development Complex.

The films analyzed by the algorithm include more than 280,000 computed tomography scans of the chest to detect signs of coronavirus infection, osteoporosis, and coronary heart disease; about 695,000 X-ray examinations to detect various lung pathologies, and over 55,000 mammograms to detect breast cancer.

Artificial intelligence significantly saves time to interpret the film, directs the physician’s attention to possible pathologies. The AI technology provides the patient with a better and faster diagnosis.

AI-based services apply mapping to the film and mark the abnormal areas as perceived. When interpreting the medical examinations, the physician can rely on both the original scan and the scan with the processed results.

Currently, neural networks are used in six areas of medical examination. Some of them joined the experiment only in 2021, in particular, those related to the diagnosis of osteoporosis, the detection of coronary calcium and pericardial fat in cases of suspected coronary heart disease. New services are now being tested in Moscow: soon radiologists might be supported with digital assistants to search for signs of pulmonary emphysema, strokes, multiple sclerosis, Alzheimer's disease, and malignant brain tumors.

The radiologists themselves determine which AI services will take part in the experiment. Physicians regularly attend meetings where they can personally give feedback to the developers of AI-based solutions and describe their needs. As of today, more than 20 Moscow health care institutions have taken part in such meetings.

More than half of all radiologists working in Departments of Diagnostic Radiology of city polyclinics and hospitals were surveyed in June. Most doctors confirmed that they use AI-technologies during a daily performance, and also selected the most easy-to-use services. The findings will assist in adapting existing solutions to the real needs of the health care system and when selecting new services.

The practical implementation of AI-technologies in health care system was made possible due to a unified digital health care platform, which is developed jointly by the Moscow Social Development Complex and the Moscow Department of Information Technologies. AI-based services were integrated into the unified radiological information service of the Unified Medical Information and Analytical System (URIS UMIAS), which is available to radiologists of all health care institutions in Moscow connected to URIS. Now URIS UMIAS unites more than 1,300 digital radiography equipment.


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