Maxime Ronot
Papers
2
Total Citations
45
H-Index
2
About
Maxime Ronot is a leading researcher in interventional radiology, with a primary focus on advancing image-guided percutaneous procedures, particularly in the liver. His major contributions center on the integration of robotic assistance into CT-guided needle placements, aiming to enhance precision, safety, and reproducibility in minimally invasive interventions. In his seminal 2021 study, Ronot demonstrated the feasibility, safety, and accuracy of a CT-guided robotic system for needle placement in a swine liver model, achieving a high success rate across 66 fiducial targets. This work, cited over 40 times, underscores his role in bridging the gap between robotic technology and clinical radiology practice. By systematically evaluating robotic assistance, Ronot has helped lay the groundwork for reducing operator variability and improving outcomes in tumor biopsies and ablations. His research is particularly impactful for students and clinicians interested in the future of automated interventional tools. Beyond this flagship study, Ronot continues to explore innovations that enhance procedural accuracy, making him a notable figure in the evolution of precision interventional oncology.
Research Focus
Key Achievements
Top Papers
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