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This ERP study examines recursive locative processing in Mandarin-speaking children with autism, finding reduced early predictive engagement and increased semantic integration demands in the ASD group.
The article introduces ASD-Bench, a comprehensive benchmark evaluating AI models for Autism Spectrum Disorder screening across four axes: predictive performance, calibration, interpretability, and robustness. It analyzes various models across different age cohorts using AQ-10 data, highlighting the importance of multi-metric evaluation in clinical AI applications.