Jiarong Guo

First Hospital of China Medical University

Papers

Total Citations

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About

Jiarong Guo is a leading orthopedic researcher whose work centers on advancing total knee arthroplasty (TKA) through robotic-assisted surgical techniques. His primary research areas include comparative surgical outcomes, deformity-specific treatment efficacy, and the application of machine learning to postoperative recovery analysis. Guo’s most influential study, “Comparison of the efficacy of robot-assisted total knee arthroplasty in patients with knee osteoarthritis with varying severity deformity” (2024, 30 citations), provides critical evidence on how domestic robotic systems perform across different levels of joint deformity, offering surgeons tailored guidance for patient selection. His 2025 work, “Evaluating surgical outcomes: robotic-assisted vs. conventional total knee arthroplasty” (4 citations), further distinguishes his contributions by integrating machine learning algorithms to systematically compare recovery trajectories between robotic and conventional approaches. This innovative methodological approach positions Guo at the forefront of data-driven orthopedic research. His cumulative findings not only validate the clinical advantages of robotic assistance—such as improved alignment and reduced complications—but also pave the way for personalized surgical planning. For students and researchers, Guo’s work represents a vital bridge between engineering precision and patient-centered care in modern orthopedics.