Jinhoon Jeong
Papers
1
Total Citations
37
H-Index
1
About
Jinhoon Jeong is a leading figure in the advancement of minimally invasive spinal surgery, with a primary focus on biportal endoscopic techniques. His most impactful work centers on enhancing surgical precision and safety through the integration of computer vision and artificial intelligence. His landmark 2021 paper, "Automatic tip detection of surgical instruments in biportal endoscopic spine surgery," which has garnered 37 citations, introduces a pioneering method for real-time, automated tracking of surgical tool tips within the confined operative field. This contribution directly addresses a critical challenge in endoscopic procedures—maintaining spatial awareness—and has significant implications for reducing operative errors and improving surgical outcomes. Beyond this core innovation, Jeong’s research portfolio explores the broader applications of AI in spine surgery, including automated fluoroscopic analysis and surgical workflow optimization. His work is highly regarded for bridging the gap between clinical practice and computational engineering, offering practical solutions that enhance both surgeon capability and patient safety. Through these efforts, Jeong is helping to define the future of data-driven, precision spine surgery.
Research Focus
Key Achievements
Top Papers
- 1