A. Daniel Davidar
Papers
13
Total Citations
172
H-Index
8
About
A. Daniel Davidar has emerged as a prominent figure in the rapidly evolving field of robotic-assisted spine surgery, with research contributions that are reshaping how surgeons approach spinal procedures. His work centers on evaluating the precision, safety, and expanding applications of surgical robotics, particularly in pedicle screw placement and minimally invasive spinal interventions. Davidar's most impactful contribution — a systematic review and meta-analysis comparing robotic spine surgery systems — has already garnered 37 citations since its 2024 publication, reflecting its immediate relevance to the surgical community. His investigations into learning curves for robotic screw placement provide practical guidance for surgeons adopting these technologies, while his innovative cadaveric study exploring MRI-derived synthetic CT imaging points toward a future of radiation-free spine surgery. Beyond technical accuracy studies, Davidar has pushed the boundaries of robotic applications into complex domains including spinal metastases treatment, high cervical atlantoaxial fixation, and stereoelectroencephalography. His analysis of the ExcelsiusGPS platform across 728 screws offers surgeons rigorous institutional data to inform clinical decision-making. Collectively accumulating over 160 citations across a compact but prolific body of work, Davidar represents a new generation of surgeon-researchers driving evidence-based adoption of robotics in neurosurgery and spine care.
Research Focus
Key Achievements
Top Papers
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- 2Advancements in Robotic-Assisted Spine Surgery30 citations · 2023
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- 8Robot-assisted atlantoaxial fixation: illustrative cases9 citations · 2022
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