In Volgograd, a module for a medical information system based on artificial intelligence (AI) has been developed to help doctors perform operations to replace clouded eye lenses in patients with cataracts. According to Alexander Zubkov, head of the Visdom laboratory at Volgograd State Technical University (VolgGTU), the use of this system can increase the efficiency of surgical interventions up to 91%.
The LensCalc system not only performs standard functions of medical information systems, such as creating reports and storing patient data, but also accumulates medical experience. This is achieved through the development of a recommendation system that helps the doctor choose the optical power for the intraocular lens. Previously, decisions during operations were made exclusively based on the experience of doctors, and the new system accumulates accumulated knowledge, providing a forecast for the selection of lens diopters and a clinically applicable calculation formula.
The LensCalc system is already being used by doctors at the branch of the "Academician Fedorov Eye Microsurgery" in Volgograd. Since this year, the clinic's specialists have started working on an updated module, which has made it possible to increase the efficiency of operations from 73.5% to 91%. In the future, it is planned to introduce this development in other branches of the Intersectoral Scientific and Technical Complex (ISTC) in the regions of Russia.
The development of LensCalc is based on classical machine learning technologies and is more versatile compared to foreign analogues, which are mainly used for patients with glaucoma. One of the developers of the AI system, ophthalmologist Artem Vinogradov, noted that this project was created to optimize processes in the clinic, which will eliminate the need for additional training of specialists in calculations.
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