Automated extraction of clinical measures from videos of oculofacial disorders using machine learning: feasibility, validity and reliability.

ABSTRACT:

Objectives

To determine the feasibility, validity and reliability of automatically extracting clinically meaningful eyelid measurements from consumer-grade videos of individuals with oculofacial disorders.

Methods

A custom computer program was designed to automatically extract clinical measures from consumer-grade videos. This program was applied to publicly available videos of individuals with oculofacial disorders, and age-matched controls. The primary outcomes were margin reflex distance 1 (MRD1) and 2 (MRD2), blink lagophthalmos, and ocular surface area exposure. Test-retest reliability was evaluated using Bland-Altman analysis to compare the agreement in obtained measures between separate videos of the same individual taken within 48 h of each other.

Results

MRD1

SUBMITTER: Schulz CB 

PROVIDER: S-EPMC9891656 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature