Endoscopic Surgery

Endoscopic surgery research is intensely focused on improving both surgical outcomes and efficiency through technological advancements. Current efforts leverage computer vision and machine learning, employing deep learning architectures like convolutional neural networks and transformers (e.g., DINOv2) to automate tasks such as surgical skill assessment, remaining surgery duration prediction, and real-time 3D scene reconstruction. These advancements aim to enhance surgical precision, training, and planning, ultimately leading to improved patient care and optimized operating room workflow. The development of miniature, dexterous robotic instruments further contributes to minimally invasive procedures.