Sheng-Fu Larry Lo
Donald & Barbara Zucker School of Medicine at Hofstra/Northwell
Papers
1
Total Citations
7
H-Index
1
About
Sheng-Fu Larry Lo is a neurosurgeon-scientist whose research bridges the clinical and economic realities of modern spine surgery. His work critically examines the intersection of surgical innovation, patient safety, and healthcare economics, with a particular focus on robotic-assisted spine procedures. In his landmark 2025 study, "The hidden cost of robotic spine surgery," Lo revealed that real-world adverse events during robotic procedures cause an average 58-minute delay, fundamentally undermining the economic viability of these technologies. This work, already garnering 7 citations, challenges prevailing assumptions about the cost-effectiveness of robotic systems and has sparked important conversations about value-based surgical care. Beyond this study, Lo’s broader research portfolio encompasses surgical outcomes, complication mitigation, and the optimization of spine surgery workflows. His contributions have been recognized through invited lectures and editorial roles, positioning him as a thoughtful voice on the practical trade-offs of adopting advanced surgical technologies. For students and researchers, Lo’s work serves as a compelling case study in how rigorous outcomes analysis can inform evidence-based surgical decision-making and healthcare policy.
Research Focus
Key Achievements
Top Papers
- 1