 The study presents an advanced CNN algorithm that accurately detects autism spectrum disorder and pediatric cohorts using resting-state fMRI data from the abiodi repository. The model achieved high diagnostic metrics and demonstrated hierarchical feature extraction capabilities, providing a deep learning framework for computer-assisted ASD screening via fMRI with transformative implications for early diagnosis and intervention. This article was authored by Min Feng and Jun Kaesu.