Exploratory Study Uses fNIRS and Machine Learning to Differentiate Autism in Young Children
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A study explored using functional near-infrared spectroscopy (fNIRS) with machine learning to classify autism in children aged 2-6, finding modest accuracy and no significant diagnostic advantage beyond age and sex.
New Early Screening Tool Developed for Autism in Chinese Toddlers Aged 12-24 Months
A new culturally adapted checklist has been developed and validated to screen for autism spectrum disorder in Chinese toddlers aged 12-24 months, showing high sensitivity and specificity in initial studies.