Benjamin N. Groisser
Papers
1
Total Citations
5
H-Index
1
About
Benjamin N. Groisser is a researcher at the forefront of surgical robotics and computer vision, whose work is transforming how we assess and improve spinal surgery outcomes. His primary research areas include automated surgical quality assurance, computer vision algorithms, and robotic-assisted pedicle screw placement. Groisser’s major contribution is the development of a fully automated system that uses computer vision to measure the accuracy and precision of robotic pedicle screw placement—a task historically reliant on subjective CT scans and expert visual assessment. By eliminating manual evaluation, his method enhances objectivity and efficiency, directly addressing the risks of screw misplacement that can lead to costly complications and revision surgeries. His 2024 paper on this topic has already garnered 5 citations, signaling its immediate impact on the field. This work not only advances surgical robotics but also sets a new standard for intraoperative feedback, promising to reduce patient morbidity and healthcare costs. Groisser’s innovative approach positions him as a key figure in the push toward fully autonomous, data-driven surgical systems.
Research Focus
Key Achievements
Top Papers
- 1