Yuan Yuli
Papers
2
Total Citations
7
H-Index
2
About
Yuan Yuli is a surgical oncologist whose research focuses on improving outcomes for patients undergoing robotic surgery for rectal cancer. His work centers on developing predictive tools to anticipate and manage postoperative complications and functional recovery. In his highly cited 2024 study, Yuli introduced a modified Surgical Apgar Score specifically tailored for robotic rectal cancer surgery, demonstrating its strong predictive value for postoperative complications—a practical innovation that helps surgeons identify high-risk patients early. He further advanced the field with a LASSO-based nomogram that identifies risk factors for low anterior resection syndrome (LARS), a debilitating condition affecting bowel function after sphincter-preserving surgery. By combining machine learning with clinical data, Yuli’s nomogram offers a personalized risk assessment, enabling proactive management of LARS. Though early in his career, his targeted contributions to robotic surgical outcomes have already garnered attention, with his most recent papers accumulating citations that underscore their clinical relevance. Yuli’s work bridges the gap between advanced surgical technology and patient-centered recovery, positioning him as an emerging leader in precision oncology and minimally invasive surgery.
Research Focus
Key Achievements
Top Papers
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- 2