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.