Deep Learning for Early Behavioral Screening of Autism Spectrum Disorder Applications Advances and Translational Challenges
Deep learning is increasingly used to convert brief, observable behaviors into quantitative markers for autism spectrum disorder (ASD) screening. This narrative review synthesizes peer-reviewed work published from September 2021 to September 2026 on eye tracking, facial and body video, speech and language, response-to-...