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

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.

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.