This article examines the impact of artificial intelligence technologies on the development of modern ophthalmic microsurgery. It analyzes the main areas of artificial intelligence application in ophthalmology, including retinal disease diagnosis, surgical planning, robotic microsurgery, and postoperative patient monitoring. Particular attention is paid to the use of machine learning algorithms and neural networks to improve surgical accuracy, reduce the risk of complications, and optimize clinical decisions. The article also discusses the advantages and limitations of implementing artificial intelligence in ophthalmological practice, as well as prospects for the further development of this technology.
Gulnoza Baltabaevna Askarova (Mon,) studied this question.
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