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Artificial intelligence and machine learning in ophthalmology: A review.

Ojas Srivastava¹, Matthew Tennant², Parampal Grewal³

¹Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alta, Canada.

Indian Journal of Ophthalmology

|January 2, 2023

Summary

This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing ophthalmology, particularly in retina, cornea, and pediatric eye care. This review explores AI

Keywords:

AI anterior segment cornea ophthalmology pediatrics retina

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Area of Science:

Ophthalmology
Artificial Intelligence in Medicine
Medical Imaging Analysis

Background:

Artificial intelligence (AI) has significantly impacted various medical fields since its inception.
Healthcare, especially ophthalmology, is increasingly leveraging AI for advancements.
Ophthalmology's reliance on digital imaging and objective data makes it suitable for AI integration.

Purpose of the Study:

To review the current applications of artificial intelligence in ophthalmology.
To highlight AI's role in specific subspecialties including retina, cornea, anterior segment, and pediatrics.

Main Methods:

Literature review of AI applications in ophthalmology.
Analysis of AI integration in digital imaging and data analysis within eye care.

Main Results:

AI demonstrates significant potential across various ophthalmology subspecialties.
Specific examples of AI in retina, cornea, anterior segment, and pediatric ophthalmology are discussed.

Conclusions:

AI is a transformative technology in modern ophthalmology.
Further integration of AI promises to enhance diagnostic accuracy and patient care in eye diseases.