Takatsune Kawaguchi
Papers
1
Total Citations
15
H-Index
1
About
Takatsune Kawaguchi is a leading researcher at the intersection of interventional radiology, artificial intelligence, and robotic surgery. His primary contributions center on developing intelligent systems for CT-guided biopsies, where he has pioneered the integration of AI-based needle-path generators with robotic assistance to enhance precision and safety in minimally invasive procedures. In his most-cited work, "Robot-Assisted CT-Guided Biopsy with an Artificial Intelligence–Based Needle-Path Generator: An Experimental Evaluation Using a Phantom Model" (2025, 15 citations), Kawaguchi demonstrated a novel framework that autonomously calculates optimal needle trajectories, reducing procedural variability and potential complications. This work exemplifies his broader impact in advancing computer-assisted interventions, combining real-time imaging analysis with automated robotic control to improve clinical outcomes. Though early in his citation trajectory, his research is gaining recognition for its translational potential, bridging the gap between AI-driven planning and robotic execution in interventional oncology. Kawaguchi’s contributions are shaping the future of image-guided therapies, offering a pathway toward more accurate, efficient, and safer biopsy procedures.
Research Focus
Key Achievements
Top Papers
- 1