国际眼科纵览 ›› 2026, Vol. 50 ›› Issue (4): 273-277.doi: 10.3760/cma.j.cn115500-20260308-26406

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人工智能技术赋能白内障全流程诊疗范式转型

李芝未1  陈小凤2   

  1. 1 成都中医药大学眼科学院,成都 610091;2 成都市第三人民医院眼科,成都 610014
  • 收稿日期:2026-03-08 出版日期:2026-08-25 发布日期:2026-08-14
  • 通讯作者: 陈小凤,Email:cxflucky@yeah.net

Artificial intelligence-enabled paradigm shift in the whole-process management of cataract

Li Zhiwei1, Chen Xiaofeng2   

  1. 1 College of Ophthalmology, Chengdu University of Traditional Chinese Medicine, Chengdu 610091, China; 
    2 Department of Ophthalmology, Chengdu Third People's Hospital, Chengdu 610014, China
  • Received:2026-03-08 Online:2026-08-25 Published:2026-08-14
  • Contact: Chen Xiaofeng, Email: cxflucky@yeah.net

摘要: 白内障是全球首位的致盲性眼病。传统的诊疗模式在筛查、诊断、手术和术后管理等环节面临主观性强、操作标准不够统一、医疗资源分布不均等困境。人工智能技术为破解这些难题提供了新路径。本文梳理了人工智能技术在白内障全流程诊疗中的应用进展,重点围绕筛查与分级诊断、术前测量与计算、手术操作辅助、术后管理以及全流程整合等关键环节,深入分析了人工智能如何推动白内障诊疗范式的转型。

关键词: 白内障, 人工智能

Abstract: Cataract stands as the leading ocular disorder responsible for blindness worldwide. Conventional diagnosis and treatment paradigms for cataract are plagued by a series of dilemmas across the entire care continuum, including subjectivity in clinical decision-making, inconsistent standardized operational protocols, and inequitable distribution of medical resources throughout screening, definitive diagnosis, surgical intervention and postoperative management. The emergence of artificial intelligence (AI) technology has given a novel solution to address these challenges in cataract care. This article systematically reviews the cutting-edge application progress of artificial intelligence technologies in the full-cycle diagnosis and treatment of cataract, with an intensive focus on five core critical segments: cataract screening and grading, preoperative biometric measurement and intraocular lens power calculation, intraoperative surgical operation assistance, postoperative management, as well as integrated full-process care delivery. This paper further conducts an in-depth analysis of how AI drives the paradigm shift in cataract diagnosis and treatment.

Key words: Cataract, Artificial intelligence