Papers
4
Total Citations
13
H-Index
2
About
Lior M. Elkaim is a rising researcher at the intersection of neurosurgery, orthopedics, and advanced surgical technology. His work centers on improving the precision and safety of stereoelectroencephalography (SEEG) and robotic-assisted joint arthroplasty, with a growing focus on how these innovations are perceived by the public. Elkaim’s most cited study (7 citations) established the accuracy and safety of frameless neuronavigation for SEEG implantation, a critical contribution to epilepsy surgery. He has since expanded into comparative effectiveness research, leading a systematic review and meta-analysis that quantified radiation exposure in robot-guided versus fluoroscopy-guided spinal fusion, and pioneering the use of natural language processing to analyze social media discourse around robotic total hip and knee arthroplasty. This novel approach—blending clinical outcomes with digital ethnography—positions Elkaim as a forward-thinking voice in surgical innovation. His work not only advances technical benchmarks but also captures the real-world conversation shaping the adoption of robotic surgery, making his contributions both clinically relevant and culturally insightful.
Research Focus
Key Achievements
Top Papers
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