Accuracy of a 2-minute eye-tracking assessment to differentiate young children with and without autism

Accuracy of a 2-minute eye-tracking assessment to differentiate young children with and without autism

Abstract Background Eye-tracking could expedite autism identification/diagnosis through standardisation and objectivity. We tested whether Gazefinder autism assessment, with Classification Algorithm derived from gaze fixation durations, would have good accuracy (area under the curve [AUC] ≥ 0.80) to...

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Main Authors: Kristelle Hudry, Lacey Chetcuti, Diana Weiting Tan, Alena Clark, Alexandra Aulich, Catherine A. Bent, Cherie C. Green, Jodie Smith, Kathryn Fordyce, Masaru Ninomiya, Atsushi Saito, Shuji Hakoshima, Andrew J. O. Whitehouse
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Molecular Autism
Online Access:https://doi.org/10.1186/s13229-025-00670-4
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https://doi.org/10.1186/s13229-025-00670-4

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