Jaesoon Choi
Papers
1
Total Citations
53
H-Index
1
About
Jaesoon Choi is a biomedical engineer and researcher whose work sits at the intersection of medical robotics, artificial intelligence, and cardiovascular intervention. His most recognized contribution centers on the application of deep reinforcement learning to automate guidewire navigation in coronary artery procedures — a technically demanding clinical challenge that traditionally requires years of specialist training. In his highly cited 2021 study, which has garnered 53 citations, Choi and colleagues demonstrated that an AI-driven system could learn to steer a flexible guidewire through the complex, nonlinear dynamics of coronary artery phantoms, pointing toward a future of autonomous or semi-autonomous robotic catheterization. This work addresses a critical bottleneck in percutaneous coronary intervention, where precise guidewire placement is essential for successful stent delivery in patients with coronary artery disease. By bridging advanced machine learning with interventional cardiology, Choi's research carries significant implications for improving procedural consistency, reducing physician radiation exposure, and expanding access to high-quality cardiac care. His contributions position him as a notable voice in the growing field of AI-assisted surgical and interventional robotics.
Research Focus
Key Achievements
Top Papers
- 1