Surgical Computer Vision

Surgical computer vision aims to develop AI systems that can analyze surgical videos and images to improve the safety and efficiency of minimally invasive procedures. Current research focuses on overcoming the limitations of limited annotated data through self-supervised learning and multi-task learning approaches, often employing deep neural networks to perform tasks like tool segmentation, phase recognition, and critical view of safety detection. These advancements are crucial for creating robust and reliable AI assistants for surgeons, potentially leading to improved surgical outcomes and reduced training time for medical professionals.