Artificial intelligence (AI)-based applications exhibit the potential to improve the quality and efficiency of patient care in different fields, including cataract management. A systematic review of the different applications of AI-based software on all aspects of a cataract patient's management, from diagnosis to follow-up, was carried out in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. All selected articles were analyzed to assess the level of evidence according to the Oxford Centre for Evidence-Based Medicine 2011 guidelines, and the quality of evidence according to the Grading of Recommendations Assessment, Development and Evaluation system. Of the articles analyzed, 49 met the inclusion criteria. No data synthesis was possible for the heterogeneity of available data and the design of the available studies. The AI-driven diagnosis seemed to be comparable and, in selected cases, to even exceed the accuracy of experienced clinicians in classifying disease, supporting the operating room scheduling, and intraoperative and postoperative management of complications. Considering the heterogeneity of data analyzed, however, further randomized controlled trials to assess the efficacy and safety of AI application in the management of cataract should be highly warranted.

基于人工智能 (AI) 的应用程序具有提高不同领域患者护理质量和效率的潜力，包括白内障管理。根据系统评价和元分析指南的首选报告项目，对基于人工智能的软件在白内障患者管理的各个方面（从诊断到随访）的不同应用进行了系统评价。根据牛津循证医学中心 2011 年指南对所有选定的文章进行分析，以评估证据水平，并根据建议分级评估、开发和评估系统评估证据质量。在分析的文章中，有 49 篇符合纳入标准。由于可用数据的异质性和可用研究的设计，无法进行数据合成。人工智能驱动的诊断似乎具有可比性，在某些情况下，甚至超过了经验丰富的临床医生在疾病分类、支持手术室调度以及术中和术后并发症管理方面的准确性。然而，考虑到分析数据的异质性，进一步的随机对照试验来评估人工智能应用在白内障治疗中的有效性和安全性是非常有必要的。