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New research · Ophthalmology
European journal of ophthalmology · 23h
AI / informaticsEuropean journal of ophthalmology · 2026

Innovative AI-based system for precision diagnosis of childhood strabismus incorporating gaze tracking and real-time correction feedback.

Ruba Saleh Alghofaili
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OphthalmologyAI / informatics

AI system accurately diagnoses childhood strabismus with 96.8% binary accuracy.

Innovative AI-based system for precision diagnosis of childhood strabismus incorporating gaze tracking and real-time correction feedback.

Ruba Saleh Alghofaili · European journal of ophthalmology · 2026
Background

Strabismus is a common pediatric eye disorder that can lead to developmental and psychosocial consequences if not treated promptly.

Purpose

Strabismus is a common pediatric eye disorder that can lead to developmental and psychosocial consequences if not treated promptly.

Methods

MethodsA prospective diagnostic accuracy trial was conducted with 250 children aged 3 to 10 years.

n = 250 children
Results
the AI system correctly identified childhood strabismus (crossed eyes)
n = 250 children
More results

Ablation studies indicated that the multimodal fusion performed better than unimodal baselines (p < 0.01).

Therapeutic evaluation showed a 30.1% reduction in deviation angle, a 17% improvement in fusion, and high adherence rates (87%).

More results

Diagnostic efficiency improved, with evaluation times reduced by 62.1% (p < 0.001), and parental satisfaction scores increased (p < 0.01).

“
Conclusion · 1 of 2

The findings indicate that the proposed multimodal AI system provides diagnostic accuracy comparable to specialist evaluation, along with measurable therapeutic benefits and improved operational efficiency.

Conclusion · 2 of 2

By integrating diagnostic and rehabilitative functions, the system presents a patient-centered approach to pediatric strabismus care with potential for application in clinical and resource-limited settings.

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