Jihoon Kweon
Papers
2
Total Citations
85
H-Index
2
About
Jihoon Kweon is a leading researcher in the intersection of artificial intelligence and interventional cardiology, specializing in deep reinforcement learning for autonomous medical robotics. His work focuses on developing intelligent control systems for catheter and guidewire navigation, addressing critical challenges in minimally invasive procedures. Kweon's most impactful contributions include pioneering deep reinforcement learning frameworks for guidewire steering in coronary artery phantoms, a breakthrough that tackles the complex non-linear dynamics between operator input and device movement. His 2021 paper on this topic has garnered 53 citations, while his earlier 2019 work on automatic cardiac ablation catheter control has received 32 citations. These studies demonstrate how AI can reduce the steep learning curve required for percutaneous coronary interventions and enhance procedural precision. Kweon's research has significant implications for improving patient outcomes and expanding access to specialized cardiac care by enabling semi-autonomous robotic assistance. His work represents a critical step toward integrating reinforcement learning into real-time clinical decision-making, positioning him as a key innovator in the emerging field of AI-driven interventional medicine.
Research Focus
Key Achievements
Top Papers
- 1
- 2