Papers
3
Total Citations
28
H-Index
2
About
Eyal Behrbalk is a spine surgeon and researcher at the forefront of integrating advanced technology into orthopaedic surgery. His primary research focuses on the comparative effectiveness of robotic-assisted and navigation-guided techniques in lumbar fusion, with a critical eye on outcomes that matter most to patients and healthcare systems: complications, costs, mortality, and length of stay. His most cited work, a 2024 comprehensive analysis of nationwide inpatient data, demonstrates that robotic-assisted single-level lumbar fusion can lead to superior postoperative outcomes and reduced expenditure compared to conventional methods—a finding with significant implications for surgical practice and health policy. Behrbalk is also an early adopter and thought leader in artificial intelligence, as evidenced by his 2025 editorial on the current capacities and future possibilities of large language models in orthopaedic surgery. By bridging the gap between emerging technologies and clinical reality, Behrbalk is helping to shape a future where spine surgery is safer, more efficient, and more data-driven.
Research Focus
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