Rakova spoke about the use of metropolitan neural networks by physicians of the Yamalo-Nenets Autonomous Okrug

As part of an experiment to introduce computer vision technologies into medicine using algorithms used by Moscow radiologists, more than 27 thousand studies of patients in the Yamalo-Nenets Autonomous District were analyzed, said Anastasia Rakova, Moscow Deputy Mayor for Social Development.

According to the vice-mayor, the Moscow HUB Telemed platform allows radiologists of the YNAO to work with seven artificial intelligence services in four areas of research: fluorography, radiography, as well as computed tomography of the chest organs and mammography. “The number of medical organizations that use neural networks to describe images in the region has increased to 14 in six months,” Rakova specified.

The possibilities of artificial intelligence available to metropolitan specialists have been used in the Yamalo-Nenets Autonomous Okrug for the analysis of radiological examinations of patients for six months already. During this time, about 80 radiologists in the region began to use algorithms that automate routine processes and save the doctor's time. Specialists of the Moscow Center for Diagnostics and Telemedicine of the Moscow Department of HEALTH accompany the process and control the quality of neural networks.

According to the DIRECTOR of the center Yuri Vasiliev, Moscow is ready to share its experience and is open to cooperation with other regions of the country. “Our specialists carry out daily scientific and analytical work on the selection, testing, and implementation of the best developments,” Vasilyev emphasized. “The use of computer vision in medicine reduces the time spent on diagnostic procedures, and also provides doctors with the information to make accurate diagnoses.”

Today, artificial intelligence helps to find signs of diseases in 20 areas, and the number of X-ray studies processed with its help has already exceeded 9 million. About 150 medical organizations and 20 it companies — developers and providers of artificial intelligence services — are participating in the experiment.

Neural networks help to find signs of lung cancer, covid-19 , spinal osteoporosis, aortic aneurysm, coronary heart disease, stroke, pulmonary hypertension, hydrothorax, as well as breast cancer, spinal hernias, flat feet and other diseases in radiological images .