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Artificial Intelligence–assisted Early Autism Screening: Integrating M-chat-r/f With Digital Behavioral Markers

Year: 2026

Type: article

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].

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22684305

Author: Shodmonkulova Dilorom

Language: English

Topic: Autism Spectrum Disorder Research

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7212166410

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