Anna French
Papers
3
Total Citations
41
H-Index
2
About
Anna French is a pioneering researcher at the intersection of surgical robotics, human performance, and bioprinting. Her work primarily focuses on understanding and enhancing surgical skill acquisition, with a particular emphasis on robot-assisted surgery. French’s most influential contribution is the introduction of the isogony principle, a novel framework for predicting surgical proficiency from the very first seconds of a task. Her 2017 paper, “Predicting surgical skill from the first N seconds of a task,” which has garnered 29 citations, demonstrates that early motion patterns can reliably forecast overall performance—a breakthrough with profound implications for surgical training and assessment. She further advanced the field with a randomized controlled trial on virtual reality warm-ups before robot-assisted surgery, showing that brief VR preparation can improve outcomes. French has also ventured into bioprinting, contributing to the design of dynamic additive manufacturing systems for free-moving human anatomy, a forward-looking project that addresses the challenges of in situ tissue engineering. Her work bridges cognitive science, engineering, and clinical practice, offering practical tools to accelerate surgical expertise and improve patient safety.
Research Focus
Key Achievements
Top Papers
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