A deep learning-based classification method for subclinical zonular laxity in AS-OCT images (opens in new tab)

ObjectiveIn this study, we developed and validated a deep learning method for the detection and angular position identification of subclinical zonular laxity using anterior segment optical coherence tomography (AS-OCT).MethodsA total of 600 curated AS-OCT images from 536 patients (600 images) undergoing cataract surgery were evenly stratified into subclinical zonular laxity (n = 300 images from 297 patients) and normal control (n = 300 images from 239 patients) groups. Data were partitioned a...