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About

Riley Brian is a leading researcher in surgical education and robotic surgery, whose work is reshaping how surgeons are trained in an era of rapid technological change. Her primary research areas include artificial intelligence in surgical training, robotic surgical education, and the optimization of bedside assistant roles. Brian’s major contributions center on identifying and addressing critical gaps in current training paradigms. She has pioneered the use of AI to overcome barriers in robotic surgical education—such as reliance on observational learning and inconsistent assessment—and has developed consensus guidelines for bedside assistant skills, a role often overlooked but vital in the operating room. Her work on low-cost simulation models for home practice has made training more accessible, while her analyses of assistant experience and online surgical videos have provided data-driven insights into improving patient safety and educational quality. With her most-cited paper, “Artificial intelligence and robotic surgical education,” garnering 23 citations, Brian’s research is already influencing curricula and policy. Her studies on faculty perceptions of laparoscopic training gaps and the comparison of robotic versus conventional esophagectomy further demonstrate her commitment to evidence-based surgical education. Riley Brian is a rising voice ensuring that surgical training keeps pace with innovation.