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A Clinical Theory-Driven Deep Learning Model for Interpretable Autism Severity Prediction
2026-01-26
health informatics
Title + abstract only
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Autism spectrum disorder (ASD) affects a substantial proportion of children worldwide, yet clinical assessment of symptom severity remains resource-intensive and unevenly accessible. Artificial intelligence (AI) has transformative potential to support scalable and timely severity assessment from behavioral data, but existing approaches largely treat autism as a monolithic prediction target and rely on opaque models that are difficult for clinicians to interpret or trust. Moreover, prior multimod...
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