Raimondo Ascione

University of Bristol, NIHR Bristol Cardiovascular Biomedical Research Unit

Papers

Total Citations

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About

Raimondo Ascione is a pioneering researcher at the intersection of cardiac surgery, robotics, and artificial intelligence. His work focuses on revolutionizing minimally invasive surgical techniques by bridging the gap between human expertise and machine precision. Ascione’s major contributions center on understanding and translating the nuanced hand and finger movements of surgeons into actionable data for robotic systems. His most-cited work, "Requirements elicitation for robotic and computer-assisted minimally invasive surgery" (66 citations), provides a critical framework for developing next-generation surgical robots by systematically identifying end-user needs—a key barrier to clinical adoption. He further advanced this field by mapping surgeons’ hand and finger motions to surgical tool movement using machine learning (6 citations), and by exploring finger motion tracking for cardiac surgery (8 citations). These studies demonstrate his commitment to creating more intuitive human-robot interfaces, aiming to enhance teleoperation and surgical precision. Ascione’s research is vital for students and engineers seeking to understand how AI and robotics can be tailored to the complex, high-stakes environment of cardiac surgery, ultimately improving patient outcomes and expanding access to advanced surgical care.