Oftalmoloji Klinik Uygulamalarında Yapay Zeka

Year 2023, , 445 - 459, 27.12.2023

Ekrem Çelik , Ezgi İnan

https://doi.org/10.52538/iduhes.1339320

Abstract

Oftalmolojinin klinik uygulamalarında yüksek kaliteli ve tekrarlanan çok sayıda dijital görüntüler oftalmolojide yapay zekâ çalışmalarının küresel düzeyde gelişmesine olanak sağlamıştır. Direkt fotoğraf, fundus fotoğrafı ve optik koherens tomografinin başını çektiği dijital verileri kullanarak hastalıkları teşhis etmek, verileri izlemek, görüntüleri analiz etmek ve tedavi etkinliğini değerlendirmek amacıyla yapay zekâ algoritmaları kullanılabilmektedir. Başta diyabetik retinopati, glokom ve yaşa bağlı makula dejenerasyonu olmak üzere oftalmolojinin tüm alanlarında klinik uygulamalarda hızlı ve doğru karar vermek için bu programlar geniş kullanım alanı bulmuştur. Bu derleme ile yapay zekanın oftalmolojinin klinik uygulamalarındaki güncel durumu, klinik uygulamadaki yaygınlığı ve potansiyel zorluklarını ortaya koymak amaçlanmıştır.

Keywords

oftalmoloji, yapay zekâ, dijital görüntüleme

Artificial Intelligence in Ophthalmology Clinical Practices

Abstract

A large number of high-quality and repeated digital images in clinical applications of ophthalmology have allowed the development of artificial intelligence studies in ophthalmology at a global level. Artificial intelligence algorithms can be used to diagnose diseases, monitor progression, analyze images, and evaluate treatment effectiveness by using digital data led by direct photography, fundus photography and optical coherence tomography. These programs can be used to make quick and accurate decisions in clinical applications in all areas of ophthalmology, especially diabetic retinopathy, glaucoma and age-related macular degeneration. This review, it is aimed to reveal the current status of artificial intelligence in clinical applications of ophthalmology, its prevalence and potential difficulties in clinical practice.

Keywords

ophthalmology, artificial intelligence, digital imaging

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