Application of artificial intelligence in glaucoma care: An updated review.

IF 1 Q4 OPHTHALMOLOGY
Taiwan Journal of Ophthalmology Pub Date : 2024-09-13 eCollection Date: 2024-07-01 DOI:10.4103/tjo.TJO-D-24-00044
Jo-Hsuan Wu, Shan Lin, Sasan Moghimi
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引用次数: 0

Abstract

The application of artificial intelligence (AI) in ophthalmology has been increasingly explored in the past decade. Numerous studies have shown promising results supporting the utility of AI to improve the management of ophthalmic diseases, and glaucoma is of no exception. Glaucoma is an irreversible vision condition with insidious onset, complex pathophysiology, and chronic treatment. Since there remain various challenges in the clinical management of glaucoma, the potential role of AI in facilitating glaucoma care has garnered significant attention. In this study, we reviewed the relevant literature published in recent years that investigated the application of AI in glaucoma management. The main aspects of AI applications that will be discussed include glaucoma risk prediction, glaucoma detection and diagnosis, visual field estimation and pattern analysis, glaucoma progression detection, and other applications.

人工智能在青光眼护理中的应用:最新综述。
人工智能(AI)在眼科领域的应用在过去十年中得到了越来越多的探索。大量研究结果表明,人工智能在改善眼科疾病管理方面大有可为,青光眼也不例外。青光眼是一种不可逆的视力疾病,起病隐匿,病理生理学复杂,需要长期治疗。由于青光眼的临床治疗仍面临各种挑战,人工智能在促进青光眼治疗方面的潜在作用受到了广泛关注。在本研究中,我们回顾了近年来发表的研究人工智能在青光眼管理中应用的相关文献。将讨论的人工智能应用的主要方面包括青光眼风险预测、青光眼检测和诊断、视野估计和模式分析、青光眼进展检测以及其他应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.80
自引率
9.10%
发文量
68
审稿时长
19 weeks
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