Papers

3

Total Citations

92

H-Index

3

About

Fazel Khan is a pioneering orthopedic surgeon and researcher whose work sits at the intersection of surgical oncology and advanced robotics. His primary research areas include robotic-assisted bone tumor surgery, novel bone registration techniques, and the development of radiation-free, high-precision navigation systems for orthopedics. Khan’s major contribution is demonstrating that haptic robot-assisted surgery can significantly improve the accuracy of wide resections for primary bone tumors—a critical factor in patient outcomes. His landmark 2012 pilot study (60 citations) was among the first to validate robotic assistance in this challenging surgical context, showing that robots could help surgeons faithfully execute complex preoperative plans. More recently, Khan has developed a groundbreaking bone registration method using impression molding and structured-light 3D scanning, reported in two publications (2021, 2022; 14 and 18 citations respectively). This technique offers a rapid, accurate, and radiation-free alternative to conventional registration systems, addressing key limitations of cost, complexity, and intraoperative radiation exposure. His work is notable for translating cutting-edge engineering into practical, accessible tools for the operating room, with the potential to democratize robotic-assisted orthopedic surgery.

Research Focus

Key Achievements

3
H-Index
3
Papers
92
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Haptic Robot-assisted Surgery Improves Accuracy of Wide Resection of Bone Tumors: A Pilot Study
60 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Stony Brook University, Stony Brook University Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago