Atsuhiro Yoshida

About

Atsuhiro Yoshida is a spine surgeon and researcher whose work has significantly advanced the understanding and clinical implementation of robotic-assisted spine surgery. Specializing in spinal robotics, surgical navigation, and deformity correction, Yoshida has built a body of research that rigorously evaluates the accuracy, safety, and efficiency of emerging technologies in spinal procedures. Among his most influential contributions is his systematic investigation of learning curves in robotic-assisted spine surgery. Using cumulative sum (CUSUM) analysis, Yoshida and colleagues quantified precisely how many cases surgeons require to achieve proficiency — findings that carry direct implications for surgical training programs worldwide. His comparative studies between robotic and navigation-guided pedicle screw placement in adolescent idiopathic scoliosis have garnered over 26 citations, establishing important benchmarks for clinical decision-making. Notably, his research demonstrates that robotic assistance can effectively close the experience gap between junior and expert surgeons, democratizing high-precision spinal care. With publications spanning fluoroscopy efficiency, cortical bone trajectory techniques, and patient-reported outcomes, Yoshida's cumulative citation record reflects broad influence across the spinal surgery community. His work offers both practicing surgeons and trainees a rigorous, evidence-based roadmap for integrating robotics safely and effectively into modern spine surgery.

Research Focus

Key Achievements

Top Papers

1. 1
   Accuracy of computer-assisted pedicle screw placement for adolescent idiopathic scoliosis: a comparison between robotics and navigation

   26 citations · 2022
2. 2
   The Learning Curve of Robotic-Assisted Pedicle Screw Placements Using the Cumulative Sum Analysis: A Study of the First 50 Cases at a Single Center

   21 citations · 2022
3. 3
   Learning curves for robotic-assisted spine surgery: an analysis of the time taken for screw insertion, robot setting, registration, and fluoroscopy

   15 citations · 2023
4. 4
   Robotics is useful for less-experienced surgeons in spinal deformity surgery

   15 citations · 2022
5. 5
   Safety of robotic-assisted screw placement for spine surgery: Experience from the initial 125 cases

   14 citations · 2023
6. 6
   Accuracy of robotic-assisted pedicle screw placement comparing junior surgeons with expert surgeons: Can junior surgeons place pedicle screws as accurately as expert surgeons?

   12 citations · 2022
7. 7
   Screw Insertion Time, Fluoroscopy Time, and Operation Time for Robotic-Assisted Lumbar Pedicle Screw Placement Compared With Freehand Technique

   9 citations · 2022
8. 8
   Accuracy and Screw Insertion Time of Robotic-Assisted Cortical Bone Trajectory Screw Placement for Posterior Lumbar Interbody Fusion: A Comparison of Early, Middle, and Late Phases

   9 citations · 2022
9. 9
   Comparison of Radiographic and Patient-Reported Outcomes After Surgery in Adolescent Idiopathic Scoliosis Between Robotics and Navigation: An Analysis Using Propensity Score Matching

   8 citations · 2023
10. 10
    Utility of a Navigated High-Speed Drill in Robotic-Assisted Screw Placement for Spine Surgery

    6 citations · 2024

Key Collaborators

Contact & Links