Researchers at the Center for Diagnostics and Telemedicine have systematized the results of scientific trials. The monograph “Experiments using artificial intelligence techniques in the field of computer vision for medical image analysis and further applications in healthcare systems” discusses testing methods and the use of artificial intelligence in radiology.
Since 2019, Moscow Hospital has been conducting experiments on the application of computer vision in medicine. Doctors began to see the benefits of AI as early as 2020, at the height of the coronavirus pandemic. The AI was 94% accurate in identifying lesions of COVID-19 pneumonia. Currently, more than 8 million images have been analyzed by more than 40 AI services across 17 modalities over nearly three years. Artificial intelligence is a useful tool; for example, it can recognize symptoms of an aortic aneurysm in patients, helping to detect dangerous lesions early.
The experiment to introduce computer vision technology into medicine was jointly initiated by the Moscow Center for Social Development and the Diagnostic and Telemedicine Center of the Moscow Ministry of Health. And this year, outside of the experiment, the capital will become the first in Russia to introduce a special fee under compulsory health insurance for mammography studies analyzed using artificial intelligence systems.
It is practical to use computer vision technology in the healthcare system of the city of Moscow when conducting large-scale preventive studies using radiation diagnostic methods. Algorithms are trained to evaluate screening results, spot suspicious findings, and send them to licensed physicians for analysis. This is the future target screening mode, which can greatly reduce the mortality rate of malignant tumors, and has a significant social impact.
The use of computer vision in healthcare is expanding daily and becoming a routine method for identifying and treating patients. Thanks to the use of computer vision, medical personnel can make more accurate diagnoses and recommend more effective treatments, which also reduces the time to diagnosis. The monograph is intended for healthcare administrators, researchers, and medical personnel, as well as algorithm developers and staff in educational institutions.
Diagnostic and Telemedicine Center
Founded in 1996, the Center for Diagnostics and Telemedicine is a top scientific and telemedicine institution under the Moscow Ministry of Health. It focuses on AI implementations in medicine, studies radiation diagnostics, and manages departments of medical organizations, including telemedicine methods.
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