Translation. Region: Russian Federation –
Source: Novosibirsk State University –
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Today, a meeting was held at the Novosibirsk State University between the delegation of the Novosibirsk Region administration, headed by Deputy Governor Konstantin Khalzov, and representatives Research Center for Artificial Intelligence (AI Center) of NSU. The meeting was also attended by NSU Rector Dmitry Pyshny and the AI Center's scientific director, Mikhail Fedoruk. The main goal was to learn about the NSU AI Center's developments in the field of smart medicine and identify potential areas of collaboration. Following the meeting, an agreement was reached to begin implementing one of the solutions—the digital physician assistant "Doctor Pirogov"—in the regional healthcare system. A pilot launch of this project could take place as early as the next two years.
"As part of achieving the national goals set by the President of the Russian Federation to increase life expectancy and reduce mortality, it is important for us to implement our own solutions that will help improve the prevention, diagnosis, and treatment of key socially significant diseases. Collaboration with Novosibirsk State University, which has a solid research base and a powerful technological foundation in the form of ready-made prototypes and developments in the field of smart healthcare, will help us address these challenges. We are ready to begin working together in the near future," commented Konstantin Khalzov, Deputy Governor of the Novosibirsk Region.
The NSU AI Center specializes in smart cities, with one key focus being the development of healthcare solutions and the creation of a healthy environment for the population. As noted by Alexander Lyulko, Director of the NSU AI Center, medical institutions are highly interested in developing and implementing new solutions and are actively proposing promising areas for collaboration.
The "Digital Physician Assistant 'Doctor Pirogov'" medical decision support system was developed by scientists at the NSU AI Center. It currently contains information on 250 major diseases, and the database of pathological conditions is constantly expanding and expanding. During development, the scientists used a hybrid approach combining neural network methods and a specialized ANDSystem knowledge graph to ensure the interpretability of decisions. The prototype was created using research and development conducted jointly by NSU and the Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences.
At a meeting with representatives of the Novosibirsk Region administration, which was also attended by senior freelance specialists from the Novosibirsk Region Ministry of Health, a prototype system was demonstrated, and the solution generated considerable interest from the professional community.
"The key value for medical institutions, in our view, is that it reduces the time it takes to receive and register patients without compromising quality. The system will also reduce diagnostic and treatment errors and standardize patient management across doctors and shifts. Furthermore, it will enable automated auditing of existing diagnoses and prescriptions and generate reports, including for department heads and the chief physician," said Vladimir Ivanisenko, a leading researcher at the NSU AI Center and the project's director.
Other solutions from the NSU AI Center, also presented at the meeting and being considered for implementation in the Novosibirsk Region healthcare system, include an AI service for automatic MRI diagnostics and the hardware and software complex "Intelligent Assistant for the Blind, AI-Guide." The latter is being developed at the request of the S.N. Fedorov National Medical Research Center "Eye Microsurgery" Scientific and Technical Complex, an industrial partner of the NSU AI Center.
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