Application of artificial intelligence in cataract management: current and future directions

作者：Laura Gutiérrez, Jane Lim, Li Lian Foo, Wei Yan Ng, Michelle Yip, Gilbert Yong San Lim, Melissa Wong, Allan Fong, Mohamad Rosman, Jodhbir S. Mehta, Haotian Lin, Darren Shu Jeng Ting, Daniel Shu Wei Ting · 发表于：Eye and Vision · 年份：2022 · DOI：10.1186/s40662-021-00273-z · 被引用次数：83 · 研究领域：Retinal Imaging and Analysis、Retinal and Optic Conditions、Glaucoma and retinal disorders

The rise of artificial intelligence (AI) has brought breakthroughs in many areas of medicine. In ophthalmology, AI has delivered robust results in the screening and detection of diabetic retinopathy, age-related macular degeneration, glaucoma, and retinopathy of prematurity. Cataract management is another field that can benefit from greater AI application. Cataract is the leading cause of reversible visual impairment with a rising global clinical burden. Improved diagnosis, monitoring, and surgical management are necessary to address this challenge. In addition, patients in large developing countries often suffer from limited access to tertiary care, a problem further exacerbated by the ongoing COVID-19 pandemic. AI on the other hand, can help transform cataract management by improving automation, efficacy and overcoming geographical barriers. First, AI can be applied as a telediagnostic platform to screen and diagnose patients with cataract using slit-lamp and fundus photographs. This utilizes a deep-learning, convolutional neural network (CNN) to detect and classify referable cataracts appropriately. Second, some of the latest intraocular lens formulas have used AI to enhance prediction accuracy, achieving superior postoperative refractive results compared to traditional formulas. Third, AI can be used to augment cataract surgical skill training by identifying different phases of cataract surgery on video and to optimize operating theater workflows by accurately predicting ...