# Enhanced Imaging of Ocular Surface Lesions

## TL;DR

This paper reviews advanced imaging techniques for diagnosing and managing eye surface lesions, including new uses of artificial intelligence and 3D imaging.

## Contribution

The paper highlights recent advancements in imaging modalities, such as AI in AS-OCT and 3D UBM, for evaluating ocular surface lesions.

## Key findings

- Artificial intelligence is being applied to improve the interpretation of anterior segment OCT.
- Three-dimensional ultrasound biomicroscopy has been developed for better lesion evaluation.
- Intraoperative use of AS-OCT is expanding diagnostic and management capabilities.

## Abstract

Ocular surface lesions represent a diverse group of pathologies which may be challenging to diagnose clinically. Anterior segment imaging—including anterior segment optical coherence tomography (AS-OCT), optical coherence tomography angiography (OCTA), ultrasound biomicroscopy (UBM), and in vivo confocal microscopy (IVCM)—provides valuable adjunct information for the diagnosis, management, and monitoring of these lesions. The present review aims to provide an update on the principles, current clinical applications, advantages, limitations, and recent advancements in the imaging modalities used for the evaluation of ocular surface lesions. Notable recent advancements include the application of artificial intelligence in the interpretation of AS-OCT, intraoperative use of AS-OCT, the development of three-dimensional UBM, and expanded applications of each modality for a variety of ocular surface lesions.