Artificial Intelligence for Anterior Segment Diseases: A Review of Potential Developments and Clinical Applications

Abstract

Artificial intelligence (AI) technology is promising in the field of healthcare. With the developments of big data and image-based analysis, AI shows potential value in ophthalmology applications. Recently, machine learning and deep learning algorithms have made significant progress. Emerging evidence has demonstrated the capability of AI in the diagnosis and management of anterior segment diseases. In this review, we provide an overview of AI applications and potential future applications in anterior segment diseases, focusing on cornea, refractive surgery, cataract, anterior chamber angle detection, and refractive error prediction.

Keywords: Anterior chamber angle; Anterior segment; Artificial intelligence; Cataract; Cornea; Deep learning; Machine learning; Refractive error; Refractive surgery.