Eye tracking (ET) holds potential for the early detection of autism spectrum disorder (ASD).
To overcome the difficulties of working with young children, developing a short and …

Eye tracking has the potential to characterize autism at a unique intermediate level, with
links 'down'to underlying neurocognitive networks, as well as 'up'to everyday function and …

Background Gaze abnormality is a diagnostic criterion for autism spectrum disorder (ASD).
However, few easy-to-use clinical tools exist to evaluate the unique eye-gaze patterns of …

The rise of accessible commercial eye-tracking systems has fueled a rapid increase in their
use in psychological and psychiatric research. By providing a direct, detailed and objective …

Eye-tracking studies have shown potential in effectively discriminating between autism
spectrum disorder (ASD) and non-ASD groups. The main objective of the present study was …

Background Autism spectrum disorder (ASD) currently affects nearly 1 in 160 children
worldwide. In over two-thirds of evaluations, no validated diagnostics are used and gold …

Background Machine learning has been widely used to identify Autism Spectrum Disorder
(ASD) based on eye-tracking, but its accuracy is uncertain. We aimed to summarize the …

Objective Unusual eye contact is a common clinical feature in autism spectrum disorder
(ASD), yet eye-tracking studies that quantify eye fixation report inconsistent results, possibly …

While many children with autism spectrum disorder are now detected at young ages given
the rise in screening and general awareness, little is known regarding the prognosis of early …

Few clinically validated biomarkers of ASD exist which can rapidly, accurately, and
objectively identify autism during the first years of life and be used to support optimized …