Detection of Ocular Surface Squamous Neoplasia Using Artificial Intelligence With Anterior Segment Optical Coherence Tomography.
Journal:
American journal of ophthalmology
PMID:
39983942
Abstract
PURPOSE: To develop and validate a deep learning (DL) model to differentiate ocular surface squamous neoplasia (OSSN) from pterygium and pinguecula using high-resolution anterior segment optical coherence tomography (AS-OCT).
Authors
Keywords
Adult
Aged
Aged, 80 and over
Anterior Eye Segment
Artificial Intelligence
Carcinoma, Squamous Cell
Conjunctival Neoplasms
Corneal Diseases
Deep Learning
Diagnosis, Differential
Female
Humans
Male
Middle Aged
Pterygium
Reproducibility of Results
Retrospective Studies
Sensitivity and Specificity
Tomography, Optical Coherence