ML-based models hold substantial promise for the early identification of ASD, which is critical for improving patient outcomes. Future research should focus on standardizing ML model frameworks, refining theoretical underpinnings to enhance practical applicability, and promoting clinical implementation following rigorous validation. These efforts will further enhance the accuracy and utility of such predictive models.
Gu et al. (Mon,) studied this question.