Optical coherence tomography (OCT) is a non-contact method for imaging the topological
and internal microstructure of samples in three dimensions. OCT can be configured as a …

Purpose To assess the performance and generalizability of a convolutional neural network
(CNN) model for objective and high-throughput identification of primary angle-closure …

Optical coherence tomography (OCT) is a non-invasive method that provides the opportunity
to examine tissues by taking cross-sectional images. OCT is increasingly being used to …

Purpose: To assess the role of RE and anterior chamber depth (ACD) as risk factors in
PACD. Methods: Chinese American Eye Study participants received complete eye …

Purpose This study aimed to investigate the performance of deep learning algorithms in the
opportunistic screening for primary angle-closure disease (PACD) using combined anterior …

Purpose. To investigate the characteristics of anterior chamber angle parameters in
congenital ectopia lentis (CEL) patients and to evaluate the sensitivity and specificity of …

Purpose To develop a deep learning (DL) algorithm for predicting anterior chamber depth
(ACD) from smartphone-acquired anterior segment photographs. Methods For algorithm …

Purpose: To examine anterior segment structures in normal subjects whose ACD was
shallow on slit-lamp examination but did not meet the diagnostic criteria of PACD, and to …

Purpose To examine the generalizability, discuss limitations, and critically appraise
recommendations on the management of primary angle-closure suspects (PACSs) that …

Purpose: The purpose of this study is to evaluate the association between ACD and other
anterior chamber parameters after pharmacological dilation in patients with primary angle …