Artificial Intelligence (AI) in Ophthalmology: An Overview

Syeed Mehbub Ul Kadir, Rokhsanda Rehnuma, S. Rahman, M. Z. Raihani, Mahar Ali, Muhammad Moniruzzaman
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Abstract

Artificial intelligence (AI) is an emerging continuous equipment-based power that is initiating to spread throughout to all aspects of our lifestyles for digital revolution even in medical diagnosis, management of the disease AI application in ophthalmology can help in screening, diagnosing, staging, and providing best possible management planning of various eye diseases especially for sight-threatening eye conditions. This paper demonstrates a review of the art of AI in the ophthalmic field and focusing on the applications of AI for the diagnosis and treatment of ophthalmic diseases including cataract, glaucoma, diabetic retinopathy, age-related macular degeneration, retinopathy of prematurity, and future AI applications with image enhancement in Ophthalmology. Diabetic retinopathy is occurring due to damage of retinal blood. Advanced diabetic retinopathy can cause blindness. So, early detection and management of diabetic retinopathy is crucial to prevent vision loss. AI based technology is playing a role as an auxiliary assistant in screening and diagnostic support for ophthalmologist.
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人工智能(AI)在眼科中的应用综述
人工智能(AI)是一种新兴的、持续的、基于设备的力量,它正开始渗透到我们生活方式的各个方面,甚至在医疗诊断、疾病管理方面,人工智能在眼科的应用可以帮助筛查、诊断、分期,并为各种眼病提供最佳的管理计划,特别是对视力威胁的眼病。本文综述了人工智能在眼科领域的研究进展,重点介绍了人工智能在白内障、青光眼、糖尿病视网膜病变、年龄相关性黄斑变性、早产儿视网膜病变等眼科疾病的诊断和治疗中的应用,以及未来人工智能在眼科图像增强中的应用。糖尿病视网膜病变是由于视网膜血液的损伤而发生的。晚期糖尿病视网膜病变可导致失明。因此,早期发现和治疗糖尿病视网膜病变对于预防视力丧失至关重要。基于人工智能的技术在眼科医生的筛查和诊断支持中发挥着辅助助手的作用。
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