Joon Beom Seo

About

Joon Beom Seo is a pioneering researcher at the intersection of robotics, radiology, and artificial intelligence, with a focus on developing intelligent systems for image-guided medical interventions. His major contributions center on the design and validation of robotic systems for CT-guided procedures, including biopsy and radiofrequency ablation. Seo’s work on a master-slave robotic system for needle placement demonstrated high accuracy in abdominal phantom studies, earning 42 citations and establishing a foundation for reducing radiation exposure during interventions. He also advanced the field through novel end-effector designs for fully robotic multichannel biopsy and kinematic analysis of needle insertion mechanisms. Beyond hardware, Seo has explored the transformative impact of digitization and AI on radiology, publishing forward-looking perspectives on megatrends and the evolving role of physicians in an AI-driven era. His research bridges engineering precision with clinical needs, contributing to safer, more automated diagnostic and therapeutic tools. With a career marked by innovation in robotic intervention systems and a keen eye on technological megatrends, Seo’s work continues to influence the future of precision medicine.

Research Focus

Key Achievements

Top Papers

1. 1
   Validation of a CT-guided intervention robot for biopsy and radiofrequency ablation: experimental study with an abdominal phantom

   42 citations · 2017
2. 2
   Development of New End-Effector for Proof-of-Concept of Fully Robotic Multichannel Biopsy

   19 citations · 2015
3. 3
   Design and Kinematic Analysis of a New End-Effector for a Robotic Needle Insertion-Type Intervention System

   8 citations · 2014
4. 4
   An Engineering View on Megatrends in Radiology: Digitization to Quantitative Tools of Medicine

   8 citations · 2013
5. 5
   The Role of medical doctor in the era of artificial intelligence

   4 citations · 2019

Key Collaborators

Contact & Links