Using explainable machine learning and eye-tracking for diagnosing autism spectrum and developmental language disorders in social attention tasks

Using explainable machine learning and eye-tracking for diagnosing autism spectrum and developmental language disorders in social attention tasks

BackgroundEye-tracking technology has proven to be a valuable tool in detecting visual scanning patterns associated with autism spectrum disorder (ASD). Its advantages in easily obtaining reliable measures of social attention could help overcome many of the current challenges in the assessment of ne...

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Bibliographic Details
Main Authors: Adoración Antolí, Francisco Javier Rodriguez-Lozano, José Juan Cañas, Julia Vacas, Fátima Cuadrado, Araceli Sánchez-Raya, Carolina Pérez-Dueñas, Juan Carlos Gámez-Granados
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Neuroscience
Subjects:
explainable machine learning
autism spectrum disorder
developmental language disorder
eye-tracking
differential diagnosis
computer-aided diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2025.1558621/full
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https://www.frontiersin.org/articles/10.3389/fnins.2025.1558621/full

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