An in-silico comparative cross-sectional diagnostic- accuracy study evaluating artificial intelligence platforms in identifying autism spectrum disorder from standardized pediatric case vignettes 2026
Background and objective This study evaluates the capability of various general-purpose and healthcare-specialized Artificial Intelligence (AI) platforms in identifying Autism Spectrum Disorder (ASD) from clinical narratives. Methods Using twenty standardized pediatric case reports (10 ASD and 10 non-ASD), the evaluati...