Core elements for a smooth transition from laparoscopic to robotic colorectal surgery

With the widespread adoption of da Vinci robotic system, the volume of robotic colorectal surgeries has witnessed an explosive increase. Studies have shown that robotic surgery outperforms traditional laparoscopy in terms of tumor resection quality, intraoperative blood loss, postoperative recovery, and patient prognosis. This article systematically explores the core elements for transitioning from laparoscopic to robotic colorectal surgery, emphasizing learning curve and case selection as pivotal factors. Learning curve analysis indicates that the proficiency process of robotic surgery can be divided into the exploration period, the stabilization period, and the challenge period. Moreover, previous laparoscopic experience has a limited effect on shortening the learning curve, while case selection and training volume are more crucial. Case selection should quantify the surgical difficulty through preoperative clinical parameters and follow the principle of "from simple to complex". In the future, it is necessary to establish a standardized training system, and develop surgical difficulty prediction tools to optimize clinical decision-making. This article provides a theoretical and practical framework for the safe and efficient transition of surgical approaches.