Long Ge
Papers
1
Total Citations
18
H-Index
1
About
Dr. Long Ge is a leading researcher in evidence-based orthopedics and surgical technology assessment, with a focus on advancing total knee arthroplasty (TKA). His most cited work, a 2020 Bayesian network meta-analysis and systematic review, critically evaluates the comparative effectiveness of robot-assisted surgery (RAS), computer-assisted navigation systems (CAS), and conventional TKA. This landmark study, garnering 18 citations, synthesizes complex radiological and clinical outcomes to resolve longstanding controversies in the field. Dr. Ge’s contributions lie in applying rigorous statistical methods—such as Bayesian network meta-analysis—to guide surgical decision-making and improve patient outcomes. His research has significant implications for the adoption of new technologies in orthopedic surgery, helping clinicians weigh the benefits of precision versus traditional approaches. By bridging evidence synthesis and clinical practice, Dr. Ge has established himself as a key voice in the evolution of joint replacement techniques, with his work frequently referenced by surgeons and researchers aiming to optimize TKA protocols.
Research Focus
Key Achievements
Top Papers
- 1