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Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
Published on: February 23, 2024
A surgical approach to building impactful artificial intelligence
Simon C Williams1,2, Danyal Z Khan3,4, Sophia Bano4
1National Hospital for Neurology and Neurosurgery, London, UK. rmapwil@ucl.ac.uk.
Abstract:
Two recent studies in surgical AI video analysis show divergent outcomes based on user expertise and AI explainability. While both demonstrate improved accuracy with AI-assistance, differences in trust and transparency critically shaped impact. This commentary explores human-computer interaction factors such as trust, usability, and explainability, and argues for structured evaluation frameworks to ensure effective, safe integration of AI into surgical practice.
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