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About

Kyung-Sook Yang is a leading researcher in the field of robotic surgical training and outcomes, with a particular focus on the learning curves and skill acquisition necessary for mastering robotic-assisted procedures. Her work is foundational for understanding how surgeons can efficiently and safely adopt complex robotic systems. Yang’s most impactful contribution is her 2013 study on the multiphasic learning curve for robot-assisted rectal surgery, which has garnered 151 citations and provides critical insights into the stages of surgical proficiency. She further advanced the field by developing effective repetitive training schedules for robotic virtual reality simulators, demonstrating that structured practice can significantly enhance skill acquisition, as evidenced by her 2014 study (43 citations). Her research also extends to clinical outcomes, where she has investigated predictors of postoperative complications, such as the link between preoperative CT findings and inguinal hernia after robotic prostatectomy (11 citations), and the lower incidence of urinary retention in robotic versus laparoscopic rectal surgery (8 citations). Through her detailed analyses of operative times and procedural steps, Yang has provided invaluable guidance for optimizing robotic surgery training and patient safety, making her a key figure in the evolution of minimally invasive surgical education.