Роботизированные инструменты и обучаемые алгоритмы в офтальмологии

Abstract

In recent years, robotic tools and machine learning algorithms have become increasingly popular in ophthalmology. These technologies reduce the risk of errors during surgical procedures and improve treatment outcomes, as well as enable automation. one of the most common robotic systems in ophthalmology is the Femto-laSIK system, which is used to correct vision by changing the shape of the cornea. Machine learning algorithms have also found wide application in ophthalmology. they are used to analyze medical images, such as photographs of the eye or retina scans. These algorithms automatically detect and classify various eye diseases, such as glaucoma, diabetic retinopathy, and macular degeneration. This helps doctors diagnose diseases more quickly and accurately, and prescribe appropriate treatment. One of the most interesting examples of using machine learning algorithms in ophthalmology is the Eyeart system, which is used for automatic diagnosis of diabetic retinopathy. This article describes approaches and developments that allow for the diagnosis and treatment of glaucoma, tools for automating cataract treatment using machine learning algorithms and a robotic manipulator. It also describes a digital microscope that enables the use of these technologies in the operating process. Overall, robotic tools and machine learning algorithms have become an integral part of ophthalmology. they improve treatment outcomes and reduce the risk of errors. the future of ophthalmology is linked to the development of these technologies, which will become increasingly accurate and intelligent. Keywords: robotic tools, machine learning, ophthalmology