Surgical Instrument

Surgical instrument research focuses on developing advanced computer vision and robotic systems to improve surgical precision, efficiency, and safety. Current efforts concentrate on real-time 3D pose estimation and segmentation of instruments using deep learning models, such as neural networks (including YOLO and Transformers) and neural fields, often trained on synthetic data to overcome limitations in annotated real-world datasets. These advancements enable applications like augmented reality guidance, robotic teleoperation, and improved surgical workflow analysis, ultimately contributing to better patient outcomes and more efficient surgical procedures.