Medical imaging is the mainstay of clinical diagnosis and management. Optical coherence
tomography (OCT) is a non-invasive imaging technology that has revolutionized the field of …

Assessing anterior chamber (AC) inflammation is highly subjective and challenging.
Although various grading systems attempt to offer objectivity and standardization, the clinical …

Purpose To assess baseline ocular biometric risk factors for progression from primary angle
closure suspect (PACS) to primary angle closure (PAC) or acute angle closure (AAC) …

Purpose To develop and evaluate the performance of a 3-dimensional (3D) deep-learning–
based automated digital gonioscopy system (DGS) in detecting 2 major characteristics in …

Purpose: To develop a deep neural network that detects the scleral spur in anterior segment
optical coherence tomography (AS-OCT) images. Methods: Participants in the Chinese …

Aims To validate a deep learning (DL) algorithm (DLA) for 360° angle assessment on swept-
source optical coherence tomography (SS-OCT)(CASIA SS-1000, Tomey Corporation …

Aim To perform an independent validation of deep learning (DL) algorithms for automated
scleral spur detection and measurement of scleral spur-based biometric parameters in …

Purpose We sought to investigate anatomic mechanisms of angle narrowing by assessing
ocular biometric determinants of anterior chamber angle width. Design Population-based …

PURPOSE To assess the role of static and dynamic ocular biometric parameters measured
in the dark and light for predicting progression of primary angle closure suspect (PACS) to …

Purpose To characterize the corneal and epithelial thickness at different stages of
keratoconus (KC), using a deep learning based corneal segmentation algorithm for anterior …