R. Faresta

Deep learning algorithms for autism spectrum disorder detection using eye-tracking patterns

This study investigates the utilization of deep learning models to recognize ASD among 13-year-old children based on eye movement data collected as participants observed static images and short video sequences, highlighting the potential of deep learning frameworks as objective, data-driven tools for ASD detection in both clinical and research contexts.