Technology

Sergei Sobyanin: Neural networks help metropolitan doctors identify abnormalities in 20 areas

Sergei Sobyanin: Neural networks help metropolitan doctors identify abnormalities in 20 areas
Photo by M. Mishin Moscow Mayor and Government Press Service
It is now easier for doctors to diagnose lung cancer, COVID-19, coronary heart disease, breast cancer, etc.

Artificial intelligence (AI) can now identify signs of ischemic stroke so that Moscow doctors can make a diagnosis faster, writes Sergei Sobyanin on his telegram channel. The patient’s life directly depends on how quickly this will happen.

“The Center for Diagnostics and Telemedicine has been piloting computer vision technology for three years to demonstrate success. During this time, our specialists have developed and put into effect 10 novel national standards regulating the use of AI in healthcare and we are also starting production of organ-mimicking medical phantoms to train doctors and set up medical equipment,” wrote the Moscow Mayor.

Source: Sergei Sobyanin’s telegram channel @mos_sobyanin 

Now neural networks identify abnormalities in 20 clinical areas, with their number having grown twice in less than one year. It is now easier for doctors to diagnose lung cancer, COVID-19, coronary heart disease, breast cancer, etc.

The city has been introducing digital technologies into healthcare for more than a decade, with a single digital platform enabling to track all treatment stages from diagnosis to observation as the backbone.