M A Buinov
Papers
2
Total Citations
17
H-Index
2
About
M. A. Buinov is a researcher at the intersection of robotics and maxillofacial surgery, whose work focuses on enhancing the precision and safety of surgical interventions. His primary research areas include robot-assisted surgical trajectory analysis and the development of realistic tissue phantoms for medical training and device testing. Buinov’s most notable contribution is his 2016 study, which introduced a novel criterion—the standard deviation from the average cutting velocity—to quantitatively compare robot trajectories with the manual movements of surgeons during maxillofacial operations. This work, which has garnered 15 citations, provides a foundational metric for evaluating robotic precision in delicate surgical contexts. Additionally, his 2019 paper on production approaches for a human brain tissue phantom addresses a critical need in robot-assisted stereotactic biopsy, exploring various materials to create realistic, testable models. While his citation counts are modest, Buinov’s research is highly specialized, offering practical tools and methodologies that bridge robotics and clinical practice. His contributions are particularly valuable for researchers and engineers developing surgical robots, as well as for clinicians seeking to validate robotic systems against human performance.
Research Focus
Key Achievements
Top Papers
- 1
- 2