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病理性近视中的人工智能:临床研究综述

Artificial intelligence in pathologic myopia: a review of clinical research studies.

作者信息

He Xinying, Wang Yun, Zhang Xiaojun, Chi Wei, Yang Weihua

机构信息

The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

Shenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, Shenzhen, Guangdong, China.

出版信息

Front Med (Lausanne). 2025 Apr 23;12:1572750. doi: 10.3389/fmed.2025.1572750. eCollection 2025.

Abstract

Myopia is a significant global health challenge, with the incidence of pathologic myopia (PM) on the rise. PM-related fundus diseases have become a leading cause of irreversible blindness. Early detection and treatment are crucial for the prevention and control of myopia. Recent advancements in artificial intelligence (AI), particularly in machine learning and deep learning algorithms, have shown promising results in the field of PM in ophthalmology. This review explores the latest developments in AI technology for managing PM, emphasizing its role in screening and diagnosis, grading and classification, and predictive assessment. AI has shown significant potential for clinical application in PM management, enhancing its intelligent, precise, and efficient practices.

摘要

近视是一项重大的全球健康挑战,病理性近视(PM)的发病率正在上升。与PM相关的眼底疾病已成为不可逆性失明的主要原因。早期检测和治疗对于近视的预防和控制至关重要。人工智能(AI)的最新进展,特别是机器学习和深度学习算法,在眼科PM领域已显示出令人鼓舞的成果。本综述探讨了用于管理PM的AI技术的最新发展,强调了其在筛查与诊断、分级与分类以及预测评估中的作用。AI在PM管理的临床应用中已显示出巨大潜力,可提升其智能化、精准化和高效化实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5944/12055784/d4377eb237a9/fmed-12-1572750-g0001.jpg

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