Kelsie Boulton

The University of Sydney, Children's Hospital at Westmead

Papers

Total Citations

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About

Kelsie Boulton is a pioneering researcher at the intersection of artificial intelligence and neurodevelopmental conditions, with a focus on developing AI-driven tools to assess and support adaptive functioning and social behaviors. Her work centers on leveraging AI-assistive technologies to create personalized, cost-effective solutions for individuals with conditions such as autism spectrum disorder (ASD). Boulton’s major contributions include a comprehensive systematic review (2024, 21 citations) that evaluates how AI can enhance adaptive functioning in everyday environments, highlighting the potential for real-world, scalable interventions. She also led a meta-analysis (2025, 7 citations) examining AI algorithms for tracking social behaviors and supporting ASD diagnosis, demonstrating how facial information extraction during social interactions can improve clinical assessments. These studies underscore her impact in advancing evidence-based AI applications for neurodevelopmental care. Boulton’s research is notable for bridging cutting-edge technology with practical clinical needs, offering promising pathways for early diagnosis and personalized support. Her work continues to shape how AI can transform outcomes for individuals with neurodevelopmental conditions, making her a key voice in this rapidly evolving field.