Surgery Video

Surgical video analysis is a rapidly evolving field aiming to improve surgical outcomes and training through automated video processing. Current research focuses on developing efficient and accurate algorithms for tasks like real-time segmentation, error detection, and action recognition, often employing deep learning architectures such as transformers, convolutional neural networks, and hidden Markov models, sometimes integrated with novel approaches like chain-of-thought prompting and contrastive learning. These advancements enable applications ranging from improved surgical workflow understanding and robotic assistance to more effective surgical training and simulation. The development of large, publicly available datasets is also a key focus, facilitating broader research and model generalizability across different surgical procedures and institutions.