Zerui Sun
Papers
1
Total Citations
2
H-Index
1
About
Zerui Sun is a rising orthopedic researcher whose work centers on the integration of artificial intelligence and robotic assistance in total knee arthroplasty (TKA). His most-cited study, "AI-assisted preoperative planning combined with robotic-assisted total knee arthroplasty vs. conventional surgery," provides early evidence that AI-robotic workflows can improve perioperative outcomes and accelerate early functional recovery in patients with knee osteoarthritis. By retrospectively analyzing data from 88 patients, Sun demonstrated the potential of combining machine learning with robotic precision to personalize surgical planning and execution. Though his work is still accumulating citations—with his flagship paper garnering 2 to date—it represents a forward-looking contribution to the field of computer-assisted orthopedics. Sun’s research sits at the intersection of data-driven preoperative modeling and intraoperative robotic guidance, a rapidly evolving area that promises to reduce variability and enhance patient outcomes. As a young investigator, his work signals a commitment to translating digital technologies into tangible surgical benefits, positioning him as a researcher to watch in the ongoing shift toward smarter, more personalized joint replacement surgery.
Research Focus
Key Achievements
Top Papers
- 1