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人工智能在青光眼护理中的应用:最新综述。

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

作者信息

Wu Jo-Hsuan, Lin Shan, Moghimi Sasan

机构信息

Shiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California.

Edward S. Harkness Eye Institute, Department of Ophthalmology, Columbia University Irving Medical Center, New York.

出版信息

Taiwan J Ophthalmol. 2024 Sep 13;14(3):340-351. doi: 10.4103/tjo.TJO-D-24-00044. eCollection 2024 Jul-Sep.

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.

摘要

在过去十年中,人工智能(AI)在眼科领域的应用得到了越来越多的探索。大量研究已显示出令人鼓舞的结果,支持人工智能在改善眼科疾病管理方面的效用,青光眼也不例外。青光眼是一种具有隐匿性发病、复杂病理生理学和长期治疗特点的不可逆视力疾病。由于青光眼的临床管理仍存在各种挑战,人工智能在促进青光眼护理方面的潜在作用已引起了广泛关注。在本研究中,我们回顾了近年来发表的有关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、青光眼检测与诊断、视野估计与模式分析、青光眼进展检测以及其他应用。

相似文献

1
Application of artificial intelligence in glaucoma care: An updated review.人工智能在青光眼护理中的应用:最新综述。
Taiwan J Ophthalmol. 2024 Sep 13;14(3):340-351. doi: 10.4103/tjo.TJO-D-24-00044. eCollection 2024 Jul-Sep.
2
[Artificial intelligence and glaucoma: A literature review].[人工智能与青光眼:文献综述]
J Fr Ophtalmol. 2022 Feb;45(2):216-232. doi: 10.1016/j.jfo.2021.11.002. Epub 2022 Jan 3.
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Federated Learning in Glaucoma: A Comprehensive Review and Future Perspectives.青光眼领域的联邦学习:全面综述与未来展望
Ophthalmol Glaucoma. 2025 Jan-Feb;8(1):92-105. doi: 10.1016/j.ogla.2024.08.004. Epub 2024 Aug 29.

本文引用的文献

9
AlterNet-K: a small and compact model for the detection of glaucoma.AlterNet-K:一种用于青光眼检测的小型紧凑模型。
Biomed Eng Lett. 2023 Jul 30;14(1):23-33. doi: 10.1007/s13534-023-00307-6. eCollection 2024 Jan.

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