Mark Weidenbaum

Papers

Total Citations

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About

Mark Weidenbaum is a leading figure in spinal surgery, with a focused expertise in the learning curve and clinical integration of robotic surgical systems. His most-cited work, "Surgeons' Learning Curve of Renaissance Robotic Surgical System" (2020), provides a critical, real-world analysis of robot-assisted pedicle screw placement. Unlike prior studies, Weidenbaum’s research uniquely accounts for total operative time, including instances of system malfunction, offering a more honest and practical assessment of surgical efficiency. This contribution has garnered 26 citations, underscoring its value to surgeons and hospitals evaluating robotic adoption. By quantifying the challenges and adjustments required during the learning phase, his work helps set realistic expectations for operative duration and patient outcomes. Weidenbaum’s research directly informs training protocols and safety standards in minimally invasive spine surgery. His candid approach to reporting technical hurdles has made him a trusted voice in the field, bridging the gap between technological promise and clinical reality. For students and researchers, his work serves as a model for rigorous, outcome-oriented surgical research.