Artificial Intelligence in Clinical Diagnosis and Treatment of Dry Eye: Workflows, Effectiveness, and Evaluation.

IF 0.9 Q3 OPHTHALMOLOGY

Journal of Current Ophthalmology Pub Date : 2025-09-18 eCollection Date: 2024-10-01 DOI:10.4103/joco.joco_172_24

Mingzhi Lu, Kuiliang Yang, Xiaoxi Deng, Tingting Fan, Han Zhang, Wanju Yang, Yiqiao Xing

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引用次数: 0

Abstract

Purpose: To introduce the applications of artificial intelligence (AI) in the clinical diagnosis and treatment of dry eye (DE) and to explore its common workflows, effectiveness, challenges, and future development directions.

Methods: This article conducts a literature review, focusing on the applications of AI in the diagnosis and treatment of DE. The primary search terms include "artificial intelligence", "machine learning", "deep learning", "computer-aided", and "Dry Eye".

Results: A total of 48 relevant original studies were identified, and their algorithms, sample characteristics, and data types were summarized. Through data analysis and image recognition, AI assists in DE examinations, identifies risk factors, aids diagnosis, and manages and monitors treatment. AI excels in enhancing diagnostic efficiency, accuracy, and objectivity, and shows promise in cloud-based treatment management. However, the applications of AI in DE also face certain challenges that need to be addressed.

Conclusions: AI has the potential to revolutionize the diagnosis of DE and recommend personalized treatment strategies. This review summarizes existing challenges and offers clinicians and researchers a comprehensive, objective overview of AI applications and workflows in DE.

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人工智能在干眼症临床诊断和治疗中的应用：工作流程、有效性和评估。

目的：介绍人工智能（AI）在干眼症临床诊治中的应用，探讨其常见工作流程、疗效、挑战及未来发展方向。方法：通过文献综述，关注AI在DE诊治中的应用，主要检索词为“人工智能”、“机器学习”、“深度学习”、“计算机辅助”、“干眼症”。结果：共识别出48项相关的原始研究，并对其算法、样本特征和数据类型进行了总结。通过数据分析和图像识别，AI协助DE检查，识别危险因素，辅助诊断，管理和监测治疗。人工智能在提高诊断效率、准确性和客观性方面表现出色，在基于云的治疗管理方面前景广阔。然而，AI在DE中的应用也面临着一些需要解决的挑战。结论：人工智能有可能彻底改变DE的诊断并推荐个性化的治疗策略。这篇综述总结了现有的挑战，并为临床医生和研究人员提供了人工智能在DE中的应用和工作流程的全面、客观的概述。

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

Journal of Current Ophthalmology OPHTHALMOLOGY-

CiteScore

2.50

自引率

6.70%

发文量

审稿时长

8 weeks

期刊介绍： Peer Review under the responsibility of Iranian Society of Ophthalmology Journal of Current Ophthalmology, the official publication of the Iranian Society of Ophthalmology, is a peer-reviewed, open-access, scientific journal that welcomes high quality original articles related to vision science and all fields of ophthalmology. Journal of Current Ophthalmology is the continuum of Iranian Journal of Ophthalmology published since 1969.