OCTess: AN OPTICAL CHARACTER RECOGNITION ALGORITHM FOR AUTOMATED DATA EXTRACTION OF SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY REPORTS.

Purpose: Manual extraction of spectral domain optical coherence tomography (SD-OCT) reports is time and resource intensive. This study aimed to develop an optical character recognition (OCR) algorithm for automated data extraction from Cirrus SD-OCT macular cube reports.

Methods: SD-OCT monocular macular cube reports (n = 675) were randomly selected from a single-center database of patients from 2020 to 2023.

Visual impairment and the prevalence of ocular pathology in homeless children and adults globally: a systematic review.

Background: Homelessness is a global issue in developing and developed countries. This article is the first systematic review to explore its impact on visual health globally.

Methods: A systematic literature search was conducted on OVID MEDLINE, EMBASE, and Cochrane CENTRAL.