ARTIFICIAL INTELLIGENCE–ASSISTED EARLY AUTISM SCREENING: INTEGRATING M-CHAT-R/F WITH DIGITAL BEHAVIORAL MARKERS

Autism-specific screening can reduce delays in recognition, but accuracy and access vary across settings. M-CHAT-R/F is a validated two-stage parent-report tool for ages 16–30 months; it estimates likelihood and does not establish diagnosis. AI can combine questionnaire responses with video, gaze, speech, or movement features, potentially improving triage while introducing risks of bias, privacy loss, and dataset shift [1–5].

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-10
DOI
https://doi.org/10.5281/zenodo.22684306
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
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article

ARTIFICIAL INTELLIGENCE–ASSISTED EARLY AUTISM SCREENING: INTEGRATING M-CHAT-R/F WITH DIGITAL BEHAVIORAL MARKERS

Shodmonkulova Dilorom
Zenodo (CERN European Organization for Nuclear Research)
Autism Spectrum Disorder Research
article

ARTIFICIAL INTELLIGENCE–ASSISTED EARLY AUTISM SCREENING: INTEGRATING M-CHAT-R/F WITH DIGITAL BEHAVIORAL MARKERS

Shodmonkulova Dilorom
article en

Abstract

Autism-specific screening can reduce delays in recognition, but accuracy and access vary across settings. M-CHAT-R/F is a validated two-stage parent-report tool for ages 16–30 months; it estimates likelihood and does not establish diagnosis. AI can combine questionnaire responses with video, gaze, speech, or movement features, potentially improving triage while introducing risks of bias, privacy loss, and dataset shift [1–5].

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 9%
Autism Spectrum Disorder Research
DOIOpen Access PDFOpenAlex
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ARTIFICIAL INTELLIGENCE–ASSISTED EARLY AUTISM SCREENING: INTEGRATING M-CHAT-R/F WITH DIGITAL BEHAVIORAL MARKERS — Shodmonkulova Dilorom · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS