Jeff Yanof
Papers
3
Total Citations
252
H-Index
3
About
Jeff Yanof is a pioneering figure in interventional radiology, whose work has fundamentally shaped the integration of robotics and multimodality imaging for minimally invasive procedures. His research centers on the development of advanced guidance technologies, particularly for radiofrequency ablation, and the creation of novel computer-human interfaces for surgical robots. Yanof’s most influential contribution is his visionary 2007 paper on the "multimodality interventional suite of the future" (145 citations), which laid the groundwork for combining CT, MRI, and ultrasound to enhance procedural precision. Earlier, he demonstrated the feasibility of a CT-integrated active robot for biopsies, as detailed in his 2001 work (54 and 53 citations), where he developed pre-operative planning tools using virtual needle overlays and tested the system in a porcine model. This early integration of robotic systems with real-time imaging was a critical step toward today's autonomous and semi-autonomous interventional platforms. Yanof’s work has been instrumental in bridging the gap between diagnostic imaging and therapeutic action, making complex procedures safer and more accurate. His legacy is a roadmap for the next generation of image-guided, robot-assisted interventions.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3