Xiaolei Bai
Papers
1
Total Citations
73
H-Index
1
About
Xiaolei Bai is a leading researcher in digital dentistry, with a primary focus on the precision and innovation of implant surgery technologies. Her work centers on comparing emerging computer-assisted systems—particularly surgical robots and dynamic navigation—to improve clinical outcomes in dental implant placement. In her landmark 2023 study, Bai conducted an in vitro pilot experiment that directly compared the accuracy of a novel implant robot system (THETA) against a dynamic navigation system (Yizhimei), providing critical evidence for the growing shift toward robotic assistance in dentistry. This highly cited paper (73 citations) has become a foundational reference for researchers and clinicians evaluating the trade-offs between robotic and navigation-guided approaches. Bai’s contributions are especially valuable for students and practitioners seeking to understand how automation and real-time guidance can enhance surgical precision, reduce human error, and standardize complex procedures. Her work not only advances the technical benchmarks for implant surgery but also helps shape the future of minimally invasive, technology-driven dental care.
Research Focus
Key Achievements
Top Papers
- 1