Guisong Song

Affiliated Hospital of Qingdao University

Papers

Total Citations

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About

Dr. Guisong Song is a leading thoracic surgeon whose research focuses on advancing minimally invasive surgical techniques for lung cancer treatment, with a particular emphasis on robotic-assisted lobectomy. His most cited work, "Learning curve for robot-assisted lobectomy of lung cancer" (2019, 48 citations), provides a critical framework for training surgeons in this complex procedure. By systematically analyzing 208 consecutive patients, Dr. Song established evidence-based guidelines that define the learning curve, helping to standardize training protocols and improve patient outcomes. This contribution addresses a significant gap in the literature, as few studies had previously quantified the surgical learning process for robotic lobectomy. His research directly impacts clinical practice by enabling safer adoption of robotic technology in thoracic surgery. Dr. Song's work demonstrates his commitment to bridging the gap between technological innovation and practical surgical education, making him a valuable resource for surgeons and trainees seeking to master robotic-assisted approaches. His findings continue to influence training programs and surgical quality improvement initiatives worldwide.