Anterior segment biometric measurements explain misclassifications by a deep learning classifier for detecting gonioscopic angle closure.

Misclassifications by an OCT-based deep learning classifier for detecting gonioscopic angle closure are explained by disagreement between anterior segment and angle parameters. This finding could be used to improve classifier performance and highlights differences between gonioscopic and AS-OCT definitions of angle closure.