Papers
5
Total Citations
120
H-Index
3
About
Assil Mahamid is an emerging orthopaedic surgery researcher whose work sits at the intersection of surgical robotics, technology-assisted procedures, and large-scale outcomes analysis. Specializing in robotic-assisted and navigation-guided surgical techniques, Mahamid has made significant contributions to understanding how advanced intraoperative technologies reshape patient outcomes in both joint replacement and spinal surgery. His most impactful work leverages the Nationwide Inpatient Sample — one of the largest inpatient databases in the United States — to rigorously compare robotic-assisted total knee arthroplasty against conventional and navigation-guided approaches. These studies, accumulating over 51 and 41 citations respectively within a single year of publication, demonstrate that robotic assistance reduces postoperative complications and shortens hospital stays without incurring additional costs, offering compelling evidence to guide surgical decision-making at a national level. Mahamid has extended this analytical framework to lumbar fusion surgery, producing similarly influential comparative data on robotic versus conventional spinal techniques. Beyond procedural outcomes research, Mahamid has demonstrated forward-thinking scholarship through editorial contributions examining artificial intelligence and large language models in orthopaedic surgery, signaling his broader interest in the digital transformation of the field. His rapid citation growth marks him as a rising voice in evidence-based orthopaedic innovation.
Research Focus
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Top Papers
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