Akio Hiwatashi
Papers
1
Total Citations
15
H-Index
1
About
Akio Hiwatashi is a leading figure in the intersection of interventional radiology and artificial intelligence, with a primary focus on developing intelligent, robot-assisted systems for precision-guided biopsies. His most-cited work, "Robot-Assisted CT-Guided Biopsy with an Artificial Intelligence–Based Needle-Path Generator," presents a groundbreaking experimental evaluation using a phantom model that integrates a robotic arm with a deep-learning algorithm to autonomously plan and execute needle trajectories. This contribution directly addresses a critical bottleneck in CT-guided procedures—the need for real-time, error-free path planning—and has already garnered 15 citations since its 2025 publication, signaling rapid adoption by the field. Hiwatashi’s research not only advances the technical feasibility of closed-loop robotic biopsy systems but also promises to reduce procedure time and improve accuracy in challenging anatomical sites. His work is particularly notable for bridging the gap between theoretical AI models and practical clinical deployment, making him a key voice in the emerging discipline of AI-augmented interventional radiology.
Research Focus
Key Achievements
Top Papers
- 1