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About

Zhifei Wang is a pioneering surgeon and researcher whose work sits at the intersection of advanced robotic surgery and surgical education. His primary research areas include robotic-assisted hepatobiliary and pancreatic surgery, surgical simulation training, and the integration of 3D-printed models with artificial intelligence. Wang’s most impactful contribution is his landmark 2011 study comparing outcomes of pancreatoduodenectomy (PD) using the Da Vinci robotic system versus open surgery, which has accumulated 136 citations and provided critical early evidence that robotic PD could be performed safely and effectively. He further advanced the field by developing the first dry-lab training models for robotic pancreaticojejunostomy, published in 2019, and by demonstrating the feasibility of complex robotic hepatectomy with biliary reconstruction in 2013. More recently, Wang has become a leading voice in surgical simulation, using bibliometric analysis to map the history and trends of the field, and exploring how 3D-printed bio-models and AI can revolutionize robotic surgery training. His work is notable for bridging the gap between cutting-edge clinical technique and the educational infrastructure needed to teach it, making him a key figure in shaping the future of minimally invasive surgery.