S. Atuahene

Healthcare Inequalities in Autism Services: Evidence from the United States, Africa, and High-Income Countries Using Machine Learning

A transparent, human-centered methodology for comparing autism diagnosis systems without overstating causal claims is presented, and policy implications focus on early screening, workforce development, culturally valid tools, telehealth, data infrastructure, and ethically governed AI systems for low-resource settings.