Stacey Darwish

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About

Stacey Darwish is a rising researcher in the field of neurosurgery and spinal biomechanics, with a focused expertise in robotic-assisted surgical techniques. Her most notable contribution to date is the landmark study, "The learning curve of robotic assisted pedicle screw placement: individual patient data meta-analysis" (2025), which has already garnered 3 citations—a strong early signal of its impact. In this work, Darwish systematically analyzed patient-level data to quantify the proficiency thresholds required for surgeons adopting robotic systems for pedicle screw placement, a critical procedure in spinal fusion. Her findings provide evidence-based benchmarks that can shorten operative times, reduce complication rates, and improve patient outcomes, directly addressing a key barrier to the widespread adoption of robotic neurosurgery. By synthesizing data across multiple institutions, Darwish has established herself as a methodical and collaborative researcher, bridging the gap between surgical innovation and clinical practice. Her work is essential reading for trainees and practitioners navigating the transition to robotic-assisted spine surgery, and it positions her as a promising voice in the ongoing evolution of precision neurosurgery.