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In this talk, I’ll present our recent research regarding AI-assisted surgery with a specific focus on analysis of intraoperative video data. The goal is to bridge the gap between data science, sensors and robotics to enhance the collaboration between surgeons and cyber-physical systems and to democratize surgical skills by quantifying surgical experience and make it accessible to machines. Several examples to optimize the therapy of the individual patient by turning the available data into useful information are given. A focus of this talk will be soft-tissue registration and workflow analysis for context-aware assistance as well as sensor-based surgical training and data generation for machine learning applications. Finally, remaining challenges and strategies to overcome them are discussed. https://www.dkfz.de/en/datascience/se...