Bibliometric Analysis of Artificial Intelligence Research in Autism Spectrum Disorder

This systematic bibliometric study analyzed 776 peer-reviewed publications from the Web of Science database to map research trends and applications of artificial intelligence in autism spectrum disorder diagnosis, identification, and intervention. Key findings identified machine learning as a major research cluster, with machine learning-based classification and diagnostic tools emerging as prominent research directions from 2021-2023.