The evolving role of machine learning in autism spectrum disorder: current evidence and future directions

Machine learning and AI technologies show promise in supporting ASD screening, diagnosis, subtyping, and intervention, though they are intended to complement rather than replace expert clinical evaluation. Future work should standardize data collection, improve model interpretability, and validate findings across multiple centers for real-world applicability.