3 accepted papers
Understanding and anticipating events and actions is critical for intraoperative assistance and decision-making during minimally invasive surgery. We propose a predictive neural network that is capable of understanding and predicting critical interaction aspects of surgical workflow based on endosco
Comprehension of surgical workflow is the foundation upon which artificial intelligence (AI) and machine learning (ML) holds the potential to assist intraoperative decision making and risk mitigation. In this work, we move beyond mere identification of past surgical phases, into prediction of future
Context-aware segmentation of laparoscopic and robot assisted surgical video has been shown to improve performance and perioperative workflow efficiency, and can be used for education and time-critical consultation. Modern pressures on productivity preclude manual video analysis, and hospital polici…