Young Min Jee
Papers
1
Total Citations
2
H-Index
1
About
Young Min Jee is a researcher whose work bridges orthopaedic surgery and advanced medical imaging, with a focus on improving outcomes in total knee arthroplasty. His key research area centers on the role of periarticular adipose tissue in surgical recovery, particularly how subcutaneous fat measurements derived from CT scans can predict adverse postoperative events. In his most-cited study, "Measurement of periarticular subcutaneous fat on CT images and adverse outcomes following total knee arthroplasty" (2024), Jee demonstrated that specific fat distribution patterns correlate with complications such as infection, delayed wound healing, and prolonged hospitalization. This work has garnered early attention with 2 citations, signaling its potential to reshape preoperative risk stratification. By integrating quantitative imaging biomarkers into clinical decision-making, Jee’s contributions offer a novel, data-driven approach to personalizing surgical care. His research not only highlights the importance of body composition in orthopaedic outcomes but also provides a practical tool for surgeons to identify high-risk patients. For students and researchers, Jee’s work exemplifies how cross-disciplinary methods—combining radiology, biomechanics, and surgical science—can address longstanding challenges in joint replacement.
Research Focus
Key Achievements
Top Papers
- 1