Gary Gong

Johns Hopkins University

Papers

1

Total Citations

21

H-Index

1

About

Dr. Gary Gong is a pioneering researcher in the field of radiation-free spine surgery, with a primary focus on integrating advanced imaging technologies with robotic-assisted surgical systems. His most cited work, a 2023 study on robot-assisted screw fixation using magnetic resonance imaging–based synthetic computed tomography (sCT), represents a landmark contribution to spinal surgery. In this cadaveric study, Dr. Gong demonstrated that sCT—generated from MRI data—can serve as a viable alternative to routine CT scans for surgical planning and navigation. This breakthrough has the potential to eliminate patient exposure to ionizing radiation during spine procedures, addressing a critical safety concern in orthopedics and neurosurgery. With 21 citations, this work has already garnered significant attention from the surgical community, highlighting its translational impact. Dr. Gong’s research sits at the intersection of biomedical engineering and clinical practice, offering a path toward safer, more precise surgical interventions. His innovative approach to synthetic imaging and robotic assistance is shaping the future of minimally invasive spine surgery, making him a rising figure in the quest for radiation-free surgical solutions.

Research Focus

Key Achievements

1
H-Index
1
Papers
21
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Robot-assisted screw fixation in a cadaver utilizing magnetic resonance imaging–based synthetic computed tomography: toward radiation-free spine surgery. Illustrative case
21 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Johns Hopkins University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago