Papers
5
Total Citations
22
H-Index
4
About
Yuan Deng is a surgical researcher specializing in robotic-assisted and minimally invasive gastrointestinal surgery, with a particular focus on advancing the technical and clinical frontiers of robotic surgical systems. His work centers on optimizing surgical outcomes for gastric cancer patients and expanding the capabilities of robotic platforms in complex abdominal procedures. Deng's most notable contributions include pioneering investigations into the da Vinci robotic system's "3 + 2" mode — a configuration employing three robotic arms alongside two surgical assistants — demonstrating its feasibility and clinical advantages in radical gastrectomy for gastric cancer across a cohort of 65 patients. His research portfolio extends into groundbreaking territory with a prospective controlled trial evaluating telerobotic cholecystectomy performed via 5G network connectivity, positioning him at the intersection of surgical robotics and emerging telecommunications technology. Further strengthening his clinical impact, Deng has developed and validated a nomogram prediction model for postoperative complications following robotic radical gastric cancer surgery, offering a practical prognostic tool for surgical teams. His meta-analysis synthesizing randomized controlled trial data comparing robotic and laparoscopic gastrectomy across Asian populations adds important evidence-based context to the field. Collectively accumulating over 20 citations, Deng's body of work meaningfully advances the safety, feasibility, and precision of next-generation surgical care.
Research Focus
Key Achievements
Top Papers
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