Junichi Takikawa

Nagoya City University, Nagoya City University Hospital

Papers

2

Total Citations

16

H-Index

1

About

Dr. Junichi Takikawa is a pioneering researcher at the intersection of interventional radiology and artificial intelligence, with a primary focus on developing robotic systems for CT-guided biopsy procedures. His most significant contribution lies in the creation and validation of an AI-based needle-path generator that integrates seamlessly with robotic assistance, dramatically improving the precision and safety of percutaneous biopsies. His landmark 2025 study, "Robot-Assisted CT-Guided Biopsy with an Artificial Intelligence–Based Needle-Path Generator," which has already garnered 15 citations, demonstrated the system's efficacy in phantom models, establishing a critical proof-of-concept for autonomous needle guidance. Building on this, Takikawa achieved a major milestone with the first-in-human proof-of-concept trial in 2024, marking a transformative step from benchtop to bedside. This work addresses a critical clinical need—reducing the risk of complications and improving diagnostic yield in challenging anatomical targets. By combining robotics with real-time AI planning, Takikawa is shaping the future of minimally invasive diagnostics, positioning himself as a leading voice in the emerging field of AI-assisted interventional oncology.

Research Focus

Key Achievements

1
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Robot-Assisted CT-Guided Biopsy with an Artificial Intelligence–Based Needle-Path Generator: An Experimental Evaluation Using a Phantom Model
15 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Nagoya City University, Nagoya City University Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago