Diaolong Ma
Papers
1
Total Citations
4
H-Index
1
About
Diaolong Ma is a surgical researcher whose work focuses on improving outcomes in gastric cancer treatment, particularly through the application of robotic-assisted surgical techniques. His primary research areas include the prediction and prevention of postoperative complications in robotic radical gastrectomy, as well as the development of clinical nomogram models to enhance surgical decision-making. Ma’s most notable contribution is the construction and validation of a nomogram prediction model for complications following robotic radical surgery for gastric cancer, a tool that helps clinicians identify high-risk patients and tailor perioperative care. This work, published in 2025, has already garnered 4 citations, signaling its early impact in the field. By integrating clinical variables into a practical predictive framework, Ma’s research advances personalized surgical management and has the potential to reduce morbidity in robotic gastric cancer surgery. His efforts underscore a commitment to evidence-based innovation in minimally invasive oncology, making his work a valuable resource for surgeons and researchers seeking to optimize patient outcomes through data-driven risk stratification.
Research Focus
Key Achievements
Top Papers
- 1