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Journals / Glokom Katarakt / 2019 / Cilt: 14 - Sayı: 2

Artifi cial Intelligence in the Diagnosis and Follow-up of Glaucoma

Glokom Tanı ve Takibinde Yapay Zekâ

Kadriye Ufuk ELGİN
Pages
59–64
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The purpose of this review is to summarize the use of artifi cial intelligence in ophthalmology, especially in glaucoma and its advantages and limitations.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Artifi cial intelligence is a very important branch of computer science and functions in many fi elds by algorithms with intelligence near human.
📊
Key Findings & Data:Its importance increases especially in the diagnosis and follow-up of glaucoma, senile macular degeneration, diabetic retinopathy and corneal ectasia.
💡
Conclusion & Impact:The purpose of this review is to summarize the use of artifi cial intelligence in ophthalmology, especially in glaucoma and its advantages and limitations.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Artifi cial intelligence is a very important branch of computer science and functions in many fi elds by algorithms with intelligence near human. It becomes a current issue in ophthalmology like many fi elds in medicine in recent years. Its importance increases especially in the diagnosis and follow-up of glaucoma, senile macular degeneration, diabetic retinopathy and corneal ectasia. Deep learning and machine learning are important of terms of artifi cial intelligence. The purpose of this review is to summarize the use of artifi cial intelligence in ophthalmology, especially in glaucoma and its advantages and limitations.

Özet

Yapay zekâ, bilgisayar biliminin son derece önemli bir alt dalı olup, pek çok alanda insan zekâsına yakın algoritmalarla işlev görmektedir. Tıbbın çoğu alanında olduğu gibi oftalmolojide de son yıllarda sıkça gündeme gelmektedir. Özellikle glokom, yaşa bağlı maküler dejenerasyon, diyabetik retinopati ve korneal ektazilerin teşhis ve takiplerinde yapay zekânın önemi giderek artmaktadır. Derin öğrenme ve makine öğrenimi yapay zekânın önemli terimleridir. Bu derlemenin amacı, yapay zekânın oftalmolojide, özellikle glokom alanında kullanımını, avantaj ve kısıtlılıklarını özetlemektir.

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Cite This Article

ELGİN, K. U. (2019). Artifi cial Intelligence in the Diagnosis and Follow-up of Glaucoma. Glokom Katarakt, Cilt: 14 - Sayı: 2, 59–64. https://ajindex.com/articles/226414

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