Shouyi Yan
Papers
1
Total Citations
7
H-Index
1
About
Shouyi Yan is a pioneering surgeon whose research focuses on advancing minimally invasive thyroid surgery through robotic technology. His landmark study, "Optimizing robotic thyroid surgery: lessons learned from a retrospective analysis of 104 cases" (2024), has garnered 7 citations and provides critical insights into the use of the da Vinci Surgical System for thyroidectomy. In this work, Yan systematically evaluates operative efficiency, the learning curve for surgeons, and postoperative outcomes, offering a comprehensive framework for improving surgical precision and patient recovery. His contributions are particularly significant in defining best practices for robotic-assisted thyroid procedures, addressing key challenges such as operative time and complication rates. Yan's research not only demonstrates the feasibility of robotic thyroid surgery but also establishes evidence-based guidelines that help surgeons optimize their techniques. By sharing practical lessons from a substantial case series, he has accelerated the adoption of robotic approaches in endocrine surgery, ultimately enhancing patient care. Yan's work stands as a valuable resource for both novice and experienced surgeons seeking to refine their skills in this rapidly evolving field.
Research Focus
Key Achievements
Top Papers
- 1