RUSSIA — The Center for Diagnostics and Telemedicine has revealed that the application of artificial intelligence (AI) in Moscow has significantly enhanced the efficiency of processing medical imaging results.

Since 2020, radiologists in Moscow have analyzed over 13 million examinations using AI technologies, marking a major milestone in the integration of AI into healthcare.

This announcement follows closely after a recent breakthrough in radiology in Moscow, where doctors gained access to an advanced AI service capable of detecting and evaluating vertebral displacement on X-ray images.

While making this announcement, Anastasia Rakova, Deputy Mayor of Moscow for Social Development, emphasized AI’s transformative impact on diagnostic radiology.

She went on to add that AI technology has streamlined the identification of diseases, and its services have become vital tools for radiologists.

Rakova noted that AI systems, which were first introduced in 2020, have been instrumental in analyzing medical images.

Additionally, since 2023, these AI services have been incorporated into the CME rate for mammography, offering radiologists a second opinion to improve accuracy in diagnostics.

Furthermore, since May 2024, AI has been operating in an experimental mode to assess norms in fluorography and chest X-ray studies autonomously.

Rakova highlighted that, to date, AI has assisted in analysing over 13 million radiation studies, improving diagnostic accuracy and making these services more accessible to Moscow residents, particularly by aiding early disease detection.

So far, the AI-powered tools can identify signs of 38 different diseases, including lung and breast cancer, pneumonia, osteoporosis, and herniated discs.

Moreover, comprehensive AI services can detect up to 12 pathologies from a single medical image, streamlining the process for radiologists and enhancing patient care.

Adding to this, Yuri Vasilev, Senior Consultant for Radiology at the Moscow Healthcare Department and CEO of the Center for Diagnostics and Telemedicine, commented on the success of these AI solutions.

He emphasized that AI’s ability to identify multiple pathologies simultaneously from a single imaging study enables early disease detection and timely patient monitoring.

Vasilev believes that AI has become an invaluable asset to radiologists, improving both diagnostic precision and workflow efficiency.

The development and integration of AI services in Moscow are part of an ongoing experiment to implement computer vision technologies in medicine.

This initiative, spearheaded by the Moscow Department of Social Development in collaboration with the Center for Diagnostics and Telemedicine, has received strong support from the city’s Department of Information Technology.

The use of digital technologies and AI to enhance the quality of life aligns with the broader goals of the national program, “Digital Economy of the Russian Federation,” as well as the city’s regional project, “Digital Public Administration.”

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