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Autism Can Be Predicted From Routine Developmental Surveillance Data

Autism spectrum disorder (ASD) can be predicted from routine developmental surveillance data, according to a study.

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Autism Can Be Predicted From Routine Developmental Surveillance Data

Accuracy from combined measures of developmental milestone assessments plus demographics, single-visit assessment surpassed M-CHAT.

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Autism can be predicted from routine developmental surveillance data

Autism can be predicted from routine developmental surveillance data
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Cognitive, Emotional Impacts of COVID-19 on Preschool Children

Among preschool children, the impact of COVID-19 was associated with greater neurocognitive performance, but impaired social skills.

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AI models using retinal images achieve perfect accuracy in diagnosing autism

Study demonstrates that deep ensemble models (DEMs) using high-resolution retinal images can accurately diagnose autism spectrum disorder (ASD) in children, achieving an AUROC of 1.00 for ASD detection and 0.74 for estimating ASD severity, offering a promising approach for computer-aided ASD diagnosis.

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