Papers
4
Total Citations
36
H-Index
3
About
Yiwei Zhao is a rising leader in orthopedic surgery, specializing in the integration of robotics and artificial intelligence to improve outcomes in total joint arthroplasty. His research focuses on developing predictive models for postoperative recovery, particularly after robotic-assisted total knee and hip arthroplasty. Zhao’s major contributions include the creation of a nomogram prediction model for early functional outcomes after robotic-assisted total knee arthroplasty, which has garnered 19 citations and provides clinicians with a practical tool for patient counseling and surgical planning. He has also characterized the learning curve for a novel seven-axis robotic system, demonstrating its potential to enhance short-term clinical and radiological outcomes compared to conventional surgery. More recently, Zhao has pioneered the use of computed tomography radiomics to predict patient satisfaction and joint function after arthroplasty, combining imaging biomarkers with clinical indicators for comprehensive, personalized prognostication. With a growing citation record and a focus on data-driven surgical precision, Zhao’s work is shaping the future of evidence-based, patient-centered orthopedic care.
Research Focus
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Top Papers
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