Papers

1

Total Citations

4

H-Index

1

About

Xufeng Jiao is an emerging researcher in orthopedic surgery, with a focused expertise in unicompartmental knee arthroplasty (UKA) and the application of advanced technologies to improve surgical outcomes. His work critically evaluates the comparative effectiveness of patient-specific instruments and robotic assistance in UKA, employing sophisticated Bayesian analysis to assess imaging accuracy and functional recovery. Jiao’s research addresses a key clinical question: whether these high-tech tools meaningfully enhance results over conventional techniques. His 2024 paper, "Does patient-specific instrument or robot improve imaging and functional outcomes in unicompartmental knee arthroplasty? A bayesian analysis," has already garnered 4 citations, signaling its relevance to surgeons and researchers seeking evidence-based guidance in joint replacement. By synthesizing complex statistical methods with practical orthopedic concerns, Jiao contributes to the ongoing refinement of minimally invasive knee surgery. His work is particularly valuable for clinicians navigating the adoption of new technologies, as it provides a rigorous framework for assessing their true benefits. As his citation profile grows, Xufeng Jiao is establishing himself as a thoughtful voice in the evidence-based evolution of orthopedic practice.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Does patient-specific instrument or robot improve imaging and functional outcomes in unicompartmental knee arthroplasty? A bayesian analysis
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Chinese Academy of Medical Sciences & Peking Union Medical College

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago