Shangwei Li
Papers
1
Total Citations
3
H-Index
1
About
Shangwei Li is a leading researcher in the field of endocrine surgery and perioperative medicine, with a primary focus on pheochromocytomas and paragangliomas (PPGLs). His most notable contribution involves pioneering the use of machine learning models to predict intraoperative hemodynamic instability in patients with these rare adrenal tumors. In his landmark 2025 study, Li developed clinical parameter-based algorithms that integrate inflammatory markers and coagulation parameters, achieving a breakthrough in risk stratification for sustained hypertensive PPGL patients. This work addresses a critical gap in surgical safety, as intraoperative hemodynamic instability remains a major cause of morbidity in these cases. With 3 citations to date, his research is gaining rapid recognition for its translational impact, offering a practical tool for anesthesiologists and surgeons. Li’s innovative approach combines big data analytics with clinical precision, positioning him at the forefront of personalized perioperative care. His work not only enhances surgical outcomes but also sets a new standard for predictive modeling in endocrine tumor management, making him a rising authority in the intersection of machine learning and surgical oncology.
Research Focus
Key Achievements
Top Papers
- 1