Ayoob Davoodi
Papers
15
Total Citations
109
H-Index
7
About
Ayoob Davoodi is a biomedical robotics researcher whose work sits at the intersection of surgical robotics, medical imaging, and intelligent systems, with a particular focus on spine surgery and minimally invasive procedures. His most significant contributions center on developing robot-assisted ultrasound navigation systems that offer radiation-free alternatives to conventional fluoroscopic guidance during pedicle screw placement — a technically demanding spinal fusion procedure performed in close proximity to critical anatomical structures. His 2023 bench-to-pre-clinical study on ultrasound reconstruction for spine surgery has garnered 26 citations, reflecting strong community interest in this emerging approach. Davoodi has also advanced the field through SafeRPlan, a safe deep reinforcement learning framework for intraoperative surgical planning (16 citations), and an augmented reality interaction scheme for robotic pedicle screw placement (12 citations), demonstrating his ability to integrate cutting-edge AI and visualization technologies into clinical workflows. His work extends to energy-efficient actuator design and autonomous ultrasound robotics for fetal surgery, highlighting notable breadth. Collectively, his research addresses a pressing clinical need: improving surgical accuracy while reducing patient radiation exposure, positioning him as a rising contributor to next-generation robotic surgery systems.
Research Focus
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Top Papers
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