Papers
1
Total Citations
5
H-Index
1
About
Jeffery Kim is a spine surgeon and researcher whose work centers on the comparative effectiveness and safety of robotic-assisted versus conventional spinal surgery. His most cited study, "Robotic-Assisted Versus Conventional Posterior Lumbar Fusion—An Analysis of 90-Day Complications and Readmissions" (2021), has garnered 5 citations and provides critical early evidence on the perioperative outcomes of robotic techniques. Kim’s research directly addresses a pressing clinical question: whether the precision of robotic assistance translates into tangible benefits for patients, such as fewer complications or lower readmission rates. By focusing on real-world, short-term outcomes, he offers surgeons and hospitals data to guide technology adoption and surgical decision-making. His work is particularly notable for its practical implications, helping to bridge the gap between emerging surgical innovations and evidence-based practice. As robotic spine surgery continues to expand, Kim’s analyses serve as a foundational reference for future trials and meta-analyses, positioning him as a key voice in the ongoing evaluation of minimally invasive and robotic-assisted approaches in orthopedics and neurosurgery.
Research Focus
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Top Papers
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