Bioengineering
The Use of Artificial Intelligence for Estimating Trabecular–Iris Angle from Slit-Lamp Images Developed Using Anterior-Segment Optical Coherence Tomography
By Takahiro Mizukami, Jun Ohashi, Hiroki Nishimura and 5 others.
Abstract
Background
Narrowing of the trabecular–iris angle (TIA) is a key anatomical feature of primary angle-closure disease and contributes to impaired aqueous humor outflow; however, conventional angle assessment requires specialized expertise or costly imaging equipment. This study aimed to develop an artificial intelligence model for quantitative TIA estimation from anterior-segment images acquired with a smartphone-attached slit-lamp microscope.