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Scholars Journal of Applied Medical Sciences | Volume-12 | Issue-11
Artificial Intelligence and Deep Learning in Ophthalmology: A Review of Advancements and Challenges
Benita Alex, Ashwini Amol Diwan, Joel Jeffrey, David Jeffrey
Published: Nov. 18, 2024 |
115
92
DOI: https://doi.org/10.36347/sjams.2024.v12i11.024
Pages: 1586-1590
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Abstract
Artificial intelligence and deep learning are upcoming areas of interest in the field of computer science. It’s becoming increasingly popular in the field of medicine, specifically in ophthalmology. It has the potential to improve the screening, diagnostic and treatment aspects of many ocular conditions like corneal diseases, glaucoma, age-related macular degeneration, and diabetic retinopathy. The concept, application, and terminology are relatively new and unfamiliar to medical professionals. Ophthalmology was quick to adopt different methods of artificial intelligence and deep learning to improve the diagnostic areas as it involves many digitalized images and data collection.