Beixi Bao

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About

Dr. Beixi Bao is a rising leader in the field of spinal surgery, whose work sits at the intersection of artificial intelligence, robotics, and clinical orthopedics. Her primary research focuses on the automation and precision of pedicle screw placement, a critical component of spinal stabilization. Dr. Bao’s most significant contribution is the development and validation of a three-dimensional (3D) U-Net algorithm for automated pedicle screw planning, which demonstrated high feasibility by training on over 1,200 cases, including data from the public CTSpine1K dataset and Beijing Tongren Hospital. This work, cited 3 times since 2025, represents a major step toward reducing human error in complex spinal procedures. She has also critically evaluated the clinical outcomes of robot-assisted surgery versus the conventional free-hand technique, providing evidence for the comparative efficacy of robotic systems. Furthermore, Dr. Bao has identified key risk factors for screw placement deviation in robot-assisted minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF), offering actionable insights to improve surgical safety. Her research is instrumental in advancing precision medicine in orthopedics, making spinal surgeries safer and more predictable.