An innovative autism spectrum disorder (ASD) detection technique for children by examining eye movement.
By Pooja Toshniwal PahariaSep 19 2023Reviewed by Lily Ramsey, LLM In a recent study published in Frontiers in Neuroscience, researchers developed an innovative autism spectrum disorder detection technique for children by examining eye movement information for cartoon choices with machine learning.
Studies reveal that in ASD patients, gaze to stimuli with significant social value diminishes and rises, emphasizing the possibility of gaining an early and objective diagnosis if explored. Related StoriesTo analyze the impacts of the most important characteristics, logistic regression modeling was used. The Gesell development scale was used to examine children's development.
Results In total, 161 children were recruited, among whom the mean age was 40 months, and 47 were female. 70% and 30% of the data obtained were used for training and testing, respectively. ASD group children were significantly younger and showed substantially lower GDS scores than TD group children.
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