Haiqing Jie
Papers
1
Total Citations
50
H-Index
1
About
Dr. Haiqing Jie is a leading researcher in the field of intelligent surgical robotics and computer vision, with a primary focus on enhancing autonomous assistance in minimally invasive procedures. His most notable contribution is the development of the Arrow OBB-YOLO network, a deep learning framework that enables the autonomous recognition and precise localization of multiple surgical instrument tips in real time. This work, which has garnered over 50 citations since its publication in 2022, addresses a critical bottleneck in robotic surgery: the ability for a robot to automatically adjust an endoscope to maintain a stable, clear surgical view, thereby reducing the cognitive and physical burden on the surgeon. By solving the key challenge of instrument tip identification, Dr. Jie’s research directly advances the safety and efficiency of computer-assisted interventions. His work stands out for its practical impact on surgical workflow, positioning him as a rising innovator in the integration of AI with medical robotics.
Research Focus
Key Achievements
Top Papers
- 1