Cataract Surgery Video

Cataract surgery video analysis is a rapidly evolving field leveraging deep learning to improve surgical outcomes and training. Current research focuses on developing robust algorithms, often based on convolutional neural networks and transformers, for tasks such as surgical step recognition, instrument identification, and scene segmentation. These advancements enable automated analysis of surgical videos for improved surgical workflow assessment, real-time feedback for surgeons, and the creation of comprehensive post-operative reports. The resulting datasets and models hold significant potential for enhancing surgical training, improving surgical efficiency, and ultimately leading to better patient care.