Papers
4
Total Citations
96
H-Index
2
About
Lior Laver is an orthopedic surgeon and researcher whose work sits at the cutting edge of surgical technology, with a particular focus on robotic-assisted and navigation-guided procedures in joint replacement and spine surgery. His research has made significant contributions to understanding how emerging technologies can improve patient outcomes in total knee arthroplasty (TKA) and lumbar fusion surgery. His highly cited 2024 studies — drawing on large-scale Nationwide Inpatient Sample data — demonstrated that robotic-assisted TKA reduces postoperative complications and shortens hospital stays compared to both conventional and navigation-guided techniques, without incurring additional costs. These findings, which have collectively garnered over 90 citations in a single year, offer compelling evidence to guide surgical decision-making at a national level. Laver has also turned his attention to the transformative potential of artificial intelligence in orthopedics, contributing editorial insight on large language models such as GPT-4 and their emerging role in diagnosis and surgical planning. Through rigorous comparative analyses and forward-thinking commentary, Laver is establishing himself as an influential voice shaping the future of technology-driven orthopedic care.
Research Focus
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Top Papers
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