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Real-world application of an eye-tracking device for autism screening and diagnosis: a short report from public demonstrations in Qatar, Dubai and the U.S

  • John Carroll University
  • SUNY Upstate Medical University
  • Autism Speaks Inc.
  • The North East and Yorkshire NHS Genomic Laboratory Hub

Research output: Contribution to journalArticlepeer-review

Abstract

Background Social attention abnormalities are a hallmark of Autism Spectrum Disorder (ASD), often characterized by atypical gaze patterns.<br /> Alm This report showed the real-world feasibility of an eye-tracking-based screening paradigm for ASD across diverse general population samples.<br /> Methods A total of 536 adults participated in public demonstrations. An Autism Index (Al), derived from a previously validated eye-tracking paradigm, was calculated from gaze patterns toward social and nonsocial stimuli. Participants were stratified into typically developing (TD), neurodivergent, and ASD groups based on validated Al cut-offs.<br /> Results Median Al scores differed significantly across groups-031 (ID), 0.53 (neurodivergent), and 0.69 (ASD)-with post-hoc tests confirming higher scores in the ASD and neurodivergent groups versus TD. Gender-based analyses showed that males had significantly higher Al scores than females (p = 0.028) Among those classified as ASD, 95% reported a formal diagnosis, supporting the validity of the tool. Receiver operating characteristic (ROC) analysis demonstrated excellent diagnostic performance, with an area under the curve (AUC) of 0.997. At the optimal cut-off score of 0.555, the tool achieved 100% sensitivity and 99.4% specificity.<br /> Conclusion This report highlights the feasibility and accuracy of the eye-tracking paradigm as a scalable and objective screening tool for ASD in general adult populations, supporting its potential for broader clinical implementation.<br /> Clinical trial number Not applicable
Original languageEnglish
Article number210
Number of pages8
JournalBMC Psychiatry
Volume26
Issue number1
DOIs
Publication statusPublished - 30 Jan 2026

Keywords

  • Autism index
  • Autism spectrum disorder
  • Diagnostic accuracy
  • Eye-tracking
  • Public demonstrations
  • Screening tool
  • Social attention

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