Qian Hao
Papers
1
Total Citations
2
H-Index
1
About
Qian Hao is a leading researcher in hepatopancreatobiliary surgery, with a primary focus on advancing minimally invasive techniques for complex pancreatic procedures. His most notable contribution is the development and validation of a predictive nomogram for robotic pancreaticoduodenectomy (RPD) selection, published in 2019. This innovative tool helps surgeons identify ideal candidates for RPD among Chinese patient populations, addressing the critical challenge of patient selection in robotic surgery. By analyzing preoperative variables, Hao's nomogram enhances surgical decision-making, potentially improving outcomes and reducing complications in pancreatic cancer treatment. His work has garnered attention in the surgical community, with his seminal paper accumulating 2 citations as a foundation for further research. Hao's contributions are particularly significant given the rising global interest in robotic-assisted surgery for pancreatic malignancies. His research bridges the gap between technological innovation and clinical application, offering a data-driven approach to optimize surgical care. As a pioneer in this niche field, Hao continues to shape the future of minimally invasive pancreatic surgery, making him a valuable resource for students and researchers exploring the intersection of predictive modeling and robotic surgical oncology.
Research Focus
Key Achievements
Top Papers
- 1