Anastasia Rakova, Deputy Mayor of Moscow for Social Development, said that in the capital, neural networks help identify signs of pathologies in medical images in four new clinical areas.
Artificial intelligence can now detect the following deviations from the normal state: signs of pneumothorax and changes in axillary lymph nodes on a computed tomography scan of the chest organs, vertebral body fracture on an X-ray of the musculoskeletal system, as well as automation of routine measurements of brain pathologies on magnetic resonance imaging.
The development of comprehensive services is now one of the key areas of our work when using artificial intelligence technologies. For example, on a computed tomography scan of the chest organs, a comprehensive service is capable of identifying up to 14 types of pathologies, and a total of 11 such services are already in operation.
Rakova also added that as many as 39 clinical areas, counting the four new ones, were able to be identified by AI services.
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