Terry Carney

Papers

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About

Professor Terry Carney is a pioneering figure at the intersection of artificial intelligence and surgical education. His primary research focuses on developing and validating AI-driven systems for objective, automated assessment of minimally invasive surgical skills. Carney’s major contribution lies in demonstrating that standardised objective metrics (SOMs) can serve as a reliable foundation for AI evaluation, moving beyond subjective human scoring to enhance consistency and scalability in surgical training. His most-cited work, a 2024 narrative review on AI-based assessment of surgical skills, has already garnered 7 citations, reflecting its timely impact on a rapidly evolving field. This paper critically examines the heterogeneity in existing AI assessment studies, advocating for rigorous metric standardisation to improve reliability. Carney’s research is notable for its potential to transform how surgical competence is measured, offering a data-driven pathway to safer, more effective training. His work bridges computer science and clinical practice, making him a key voice in the push toward precision education in surgery.