Semistructured focus group study reveals potential of AI screening in underserved communities, suggesting ethical implementation is crucial.
AI-powered ASD screening has potential to advance equitable early detection in underserved areas. Adoption requires transparent data governance, integration into hybrid human-AI models, culturally adaptive design, and targeted digital literacy initiatives. These findings provide an evidence-based roadmap for policymakers, technologists, and health system leaders to implement AI screening tools that are ethically sound, contextually relevant, and equity-focused.
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Yogarajah et al. (2026) studied this question.
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