India : Staff members of the Center for Diagnostics and Telemedicine have been named winners of the Russian “Quality Leader 2026” competition. Yuri Vasilev, Ph.D. in Medicine, D.Sc., Medical Director of the Center for Diagnostics and Telemedicine, received the “Quality Director 2026” award. Alexander Borisov, MD, PhD, a researcher in the Center’s Department of Medical Informatics, Radiomics, and Radiogenomics, was honored in the “Breakthrough of the Year” category.
The diagnostic radiology management model developed under Dr. Vasilev’s leadership has reduced the time required to prepare radiology reports by 88%. Its verified economic impact exceeds 301 million rubles annually, and by directive of the President of Russia, the solution is being scaled nationwide. Dr. Vasiliev is also a co-author of 42 national standards, including six GOST R standards, and holds 172 Russian Federation patents.
“For us, the quality of medical care is not an abstract metric, but a measurable outcome reflected in the time required to prepare a report, the quality of that report, the clinical validity of the diagnostic decision, and the efficiency of resource utilization, ” said Yuri Vasiliev. “The integration of artificial intelligence enables us to systematically rethink how diagnostic processes are organized, rather than simply automating individual tasks. Crucially, the effectiveness of this model has been demonstrated in practice and can now be scaled at the federal level.”
The second laureate, Alexander Borisov, developed an ensemble of seven convolutional neural networks for the automated quality control of X-ray images. The system has been integrated into Moscow’s Unified Radiological Information Service (URIS) within the Unified Medical Information and Analysis System (UMIAS); it evaluates images in 14 seconds with an accuracy rate exceeding 95%. This automated oversight helps identify substandard diagnostic scans, reduces the need for repeat procedures-thereby lowering unnecessary radiation exposure for patients-and optimizes expenditures from the compulsory medical insurance fund. The findings from this work served as the basis for Dr. Borisov’s PhD thesis.
“When developing this system, our goal was to make X-ray quality control fast, accurate, and suitable for real-world clinical practice. The algorithm evaluates an image in 14 seconds, allowing the check to be embedded directly into the diagnostic workflow. The practical value of this technology lies in its ability to promptly detect image quality issues, which decreases the likelihood of having to repeat examinations. It is highly significant to me that the results of this scientific research have moved beyond the laboratory and become an integral part of the digital infrastructure of Moscow’s healthcare system,” said Borisov.
The All-Russian “Quality Leader” competition is held with the support of federal ministries, government agencies, and public organizations. In 2026, the Expert Council reviewed more than 200 applications from over 35 Russian regions. The Supervisory Board selected 11 laureates recognized for advancing the national quality infrastructure, implementing advanced management systems, driving digitalization, and improving organizational efficiency
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