Naif M. Alotaibi

University of Toronto, King Fahd Medical City

Papers

2

Total Citations

152

H-Index

2

About

Naif M. Alotaibi is a leading researcher at the intersection of neurosurgery and advanced medical technology. His primary research areas include augmented reality (AR) in surgical settings and the comparative safety of robot-guided versus conventional spinal procedures. Alotaibi’s major contribution lies in systematically evaluating how emerging technologies can enhance surgical precision and reduce patient risk. His seminal work, "Augmented Reality in Neurosurgery: A Review of Current Concepts and Emerging Applications" (2017), with 150 citations, established a foundational framework for integrating AR into image-guided surgery, demonstrating how virtual overlays can improve intraoperative navigation and outcomes. More recently, his 2025 meta-analysis on "Radiation Exposure and Dose Estimates of Robot-Guided Versus Fluoroscopy-Guided Spinal Fusion" provides critical evidence that robot-guided pedicle screw placement may offer significant advantages in reducing radiation exposure during spinal fusion, a key concern for both patients and surgical teams. Through these studies, Alotaibi has positioned himself as a pivotal voice in the evolution of minimally invasive, technology-driven neurosurgery, directly shaping how future surgeons will leverage robotics and AR to improve patient care and procedural safety.

Research Focus

Key Achievements

2
H-Index
2
Papers
152
Total Citations
76
Avg Citations/Paper
🏆 Most Cited Paper
Augmented Reality in Neurosurgery: A Review of Current Concepts and Emerging Applications
150 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Toronto, King Fahd Medical City

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago