Artificial intelligence in ophthalmology: The path to the real-world clinic

作者：Zhongwen Li, Lei Wang, Xuefang Wu, Jiewei Jiang, Wei Qiang, He Xie, Hongjian Zhou, Shanjun Wu, Yi Shao, Wei Chen · 发表于：Cell Reports Medicine · 年份：2023 · DOI：10.1016/j.xcrm.2023.101095 · 被引用次数：184 · 研究领域：Retinal Imaging and Analysis、Retinal Diseases and Treatments、Retinal and Optic Conditions

Artificial intelligence (AI) has great potential to transform healthcare by enhancing the workflow and productivity of clinicians, enabling existing staff to serve more patients, improving patient outcomes, and reducing health disparities. In the field of ophthalmology, AI systems have shown performance comparable with or even better than experienced ophthalmologists in tasks such as diabetic retinopathy detection and grading. However, despite these quite good results, very few AI systems have been deployed in real-world clinical settings, challenging the true value of these systems. This review provides an overview of the current main AI applications in ophthalmology, describes the challenges that need to be overcome prior to clinical implementation of the AI systems, and discusses the strategies that may pave the way to the clinical translation of these systems.