Xiaxing Deng
Papers
2
Total Citations
36
H-Index
2
About
Xiaxing Deng is a surgical researcher specializing in pancreatic surgery, with a focus on improving outcomes for patients undergoing complex pancreatic procedures. Based at a leading academic medical center, Deng has made notable contributions to both the clinical management of postoperative complications and the advancement of minimally invasive surgical techniques for pancreatic cancer. Deng's most impactful work applies machine learning algorithms to predict clinically relevant postoperative pancreatic fistula (CR-POPF) following pancreaticoduodenectomy — one of the most feared complications in abdominal surgery. This 2022 study, which has garnered 30 citations, demonstrates how data-driven models can outperform traditional scoring systems like the Fistula Risk Score, offering surgeons earlier and more accurate diagnostic guidance for drain management. Complementing this, Deng has investigated the oncological viability of robotic pancreatectomy for pancreatic ductal adenocarcinoma, employing rigorous propensity score-matched analyses to compare robotic and open approaches in patients receiving adjuvant chemotherapy. Together, these contributions reflect Deng's commitment to bridging technological innovation with evidence-based surgical practice, helping to refine perioperative decision-making and improve long-term survival in one of oncology's most challenging diseases.
Research Focus
Key Achievements
Top Papers
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