Kaveh Kavousi

Autism resting-state fMRI classifiers rarely generalize across acquisition sites, and many reported accuracies are inflated by data leakage. ASD Neuro Agentic (ANA) has language-model agents propose features from the literature and researcher input while fixed tools perform every calculation; across 1,028 participants from 17 ABIDE I centers it searched pipelines and selected a ComBat-harmonized ensemble of tangent-space connectivity models. In leave-one-center-out testing the ensemble reached an AUC of 0.814 (95% CI, 0.773–0.841), above ASD-DiagNet and ASD-SAENet.

Autism resting-state fMRI classifiers rarely generalize across acquisition sites, and many reported accuracies are inflated by data leakage. ASD Neuro Agentic (ANA) has language-model agents propose features from the literature and researcher input while fixed tools perform every calculation; across 1,028 participants from 17 ABIDE I centers it searched pipelines and selected a ComBat-harmonized ensemble of tangent-space connectivity models. In leave-one-center-out testing the ensemble reached an AUC of 0.814 (95% CI, 0.773–0.841), above ASD-DiagNet and ASD-SAENet.