Papers
12
Total Citations
138
H-Index
6
About
Run Tian is an orthopedic surgeon and clinical researcher whose work sits at the forefront of robotic-assisted joint arthroplasty, with a particular focus on total knee and total hip replacement technologies. His research systematically evaluates the clinical, radiographic, and functional outcomes of novel robotic surgical systems compared with conventional techniques, addressing critical questions around precision, safety, and patient recovery. Most notably, Tian has contributed landmark multicenter randomized controlled trials demonstrating that robotic-assisted total knee arthroplasty (RA-TKA) offers meaningful advantages for patients with severe deformities — his most cited work on this topic has garnered 47 citations since 2023. His investigations into seven-axis robotic platforms for both knee and hip arthroplasty have shed important light on learning curves, component positioning accuracy, leg-length discrepancy, and femoral rotational alignment. Tian has also advanced predictive modeling in surgical outcomes, developing nomogram and radiomics-based tools to forecast postoperative joint function. With over 135 cumulative citations across his published work, his contributions are rapidly shaping evidence-based adoption of robotic surgery in orthopedics, offering valuable guidance to surgeons and institutions navigating the transition to next-generation operative technologies.
Research Focus
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