Quantitative Assessment of Strabismus Using Cloud AI Computing: Validation Study.

ABSTRACT:

Background

Strabismus measurement is essential in vision assessment and screening. It typically requires skilled clinicians or specialized equipment. Photographic strabismus measurement methods have value in terms of accessibility and convenience of use.

Objective

This study aimed to evaluate Eyeturn Cloud, a cloud-based artificial intelligence (AI) system for measuring strabismus angles based on eye images captured with smartphone cameras under cover test conditions.

Methods

The Eyeturn Cloud web app uses AI models to recognize eyes, eye lid, and iris, and then to segment iris precisely. It then computes strabismus based on ellipse fitting of the iris boundary and corneal reflection. The system was evaluated in patients (without glasses) with manifest strabismus and

SUBMITTER: He J 

PROVIDER: S-EPMC12627973 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature