DIAGNOSIS OF AGE-RELATED MACULAR DEGENERATION USING ARTIFICIAL INTELLIGENCE
Abstract
Age-related macular degeneration is a socially significant disease that threatens human vision. The main diagnostic method of this disease is optical coherence tomography. Due to the increase in morbidity, the load on the ophthalmologist is increasing. This review presents the latest developments in the implementation of artificial intelligence in the diagnosis of age-related macular degeneration.
About the Authors
R. R. Ibragimova
АО «Оптимедсервис»
Russian Federation
Russian Federation
E. A. Lopukhova
ФГБОУ ВО «Уфимский университет науки и технологий»
Russian Federation
Russian Federation
R. V. Kutluyarov
ФГБОУ ВО «Уфимский университет науки и технологий»
Russian Federation
Russian Federation
G. M. Idrisova
ФГБОУ ВО «Башкирский государственный медицинский университет» Минздрава России;
АО «Оптимедсервис»
Russian Federation
Russian Federation
R. T. Mukhamadeeva
ФГБОУ ВО «Башкирский государственный медицинский университет» Минздрава России
Russian Federation
Russian Federation
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Review
For citations:
Ibragimova R.R., Lopukhova E.A., Kutluyarov R.V., Idrisova G.M., Mukhamadeeva R.T. DIAGNOSIS OF AGE-RELATED MACULAR DEGENERATION USING ARTIFICIAL INTELLIGENCE. Bashkortostan Medical Journal. 2024;19(3):92-97. (In Russ.)
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