Keita Nakayama
Papers
1
Total Citations
15
H-Index
1
About
Keita Nakayama is a pioneering researcher at the intersection of interventional radiology and artificial intelligence, with a primary focus on robot-assisted, image-guided procedures. His most notable contribution is the development and experimental validation of an AI-based needle-path generator integrated with a robotic system for CT-guided biopsies. In his landmark 2025 study, Nakayama demonstrated how this intelligent system can autonomously plan optimal needle trajectories, significantly enhancing the precision and safety of percutaneous biopsies while reducing operator dependence. This work, already garnering 15 citations, represents a critical step toward fully autonomous interventional workflows. Nakayama’s research addresses fundamental challenges in minimally invasive oncology, including real-time path planning, collision avoidance, and robotic accuracy in soft-tissue targets. His achievements are particularly impactful for early cancer diagnosis, where precise tissue sampling is paramount. By combining robotics, computer vision, and deep learning, Nakayama is shaping the next generation of smart interventional suites, promising to reduce procedure times and complication rates while expanding access to high-quality biopsy services in resource-limited settings.
Research Focus
Key Achievements
Top Papers
- 1