AI-Assisted Strabismus Diagnosis Using Eye-Tracking and Machine Learning

<b>Background:</b> Strabismus diagnosis via the Alternate Cover Test (ACT) lacks quantitative standardization. This study proposes an AI-assisted framework using eye-tracking and machine learning for objective screening. <b>Methods:</b> Gaze coordinates were captured using a 60 Hz infrared eye track...

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Autor principal:	Malrey Lee
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-03-01
Col·lecció:	Diagnostics
Matèries:	strabismus AI-assisted diagnosis eye tracking machine learning ophthalmic imaging clinical decision support
Accés en línia:	https://www.mdpi.com/2075-4418/16/6/910
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