Robotic Surgery

Robotic surgery aims to improve surgical precision, minimally invasiveness, and efficiency through robotic systems. Current research heavily focuses on enhancing the surgeon's experience by developing advanced haptic feedback, automated skill assessment using machine learning models (like deep learning networks and transformers), and improved 3D scene reconstruction for telemedicine applications. These advancements leverage techniques such as deep reinforcement learning, large language models, and advanced computer vision algorithms to improve surgical planning, execution, and training, ultimately leading to better patient outcomes and more efficient surgical workflows.