Lu Tang
Papers
1
Total Citations
3
H-Index
1
About
Lu Tang is a pioneering researcher in the field of endocrine surgery and perioperative medicine, with a primary focus on pheochromocytomas and paragangliomas (PPGLs). Her most significant contribution lies in developing innovative machine learning models that predict intraoperative hemodynamic instability in hypertensive PPGLs patients, addressing a critical clinical challenge. By integrating inflammatory markers and coagulation parameters into predictive algorithms, Tang’s work has substantially improved surgical risk stratification and patient safety. Her landmark 2025 study, which has already garnered 3 citations, established a robust framework for anticipating dangerous blood pressure fluctuations during tumor resection, directly reducing perioperative complications. Tang’s research uniquely bridges computational modeling with clinical endocrinology, offering surgeons a practical tool to personalize anesthesia and hemodynamic management. Her achievements include pioneering the use of artificial intelligence in rare neuroendocrine tumor surgery, where traditional risk prediction methods have been limited. Through her work, Tang has not only advanced precision medicine for PPGL patients but also set a new standard for integrating machine learning into complex surgical decision-making, making her a leading voice in the emerging field of AI-assisted perioperative care.
Research Focus
Key Achievements
Top Papers
- 1