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

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 differentiate 2-4-year-old autistic from non-autistic children.

Citation:
Hudry K, Chetcuti L, Tan DW, Clark A, Aulich A, …….. Whitehouse AJO. Accuracy of a 2-minute eye-tracking assessment to differentiate young children with and without autism. Mol Autism. 2025;16(1).

Keywords:
Autism; early childhood development; eye-tracking assessment

Abstract:
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 differentiate 2-4-year-old autistic from non-autistic children.