Xiaofei Tang

Yangzhou University, Southwestern University of Finance and Economics

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About

Xiaofei Tang is a pioneering researcher at the intersection of surgical oncology and artificial intelligence in healthcare. Her primary research areas encompass minimally invasive gastric cancer surgery and the psychological dynamics of patient-AI interaction in clinical settings. Tang’s most impactful contribution is her landmark 2017 randomized trial comparing robotic versus laparoscopic gastrectomy for locally advanced gastric cancer, which has garnered 47 citations and provided critical evidence on the safety and short-term outcomes of robotic surgical techniques. This work has helped shape modern surgical protocols for gastric cancer treatment. More recently, Tang has broken new ground by investigating the psychological barriers to AI adoption in medicine. Her 2024 study on patient trust in AI pharmacy intravenous admixture services, though newly published with 4 citations, addresses a vital emerging challenge: how subjective understanding influences patients’ willingness to accept automated medical services. By bridging technical surgical innovation with human-centered AI research, Tang demonstrates a rare ability to tackle both the procedural and perceptual dimensions of modern medicine. Her work is essential reading for researchers interested in robotic surgery, gastric cancer management, and the human factors shaping the future of AI-driven healthcare.