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Increasingly powerful technological developments in surgery such as modern operating rooms (OR), featuring digital and interconnected as well as robotic devices provide a huge amount of valuable data which can be used to improve patient therapy. Although a lot of data is available, the human ability to use these possibilities especially in a complex and time-critical situation such as surgery is limited and is extremely dependent on the experience of the surgical staff. This talks focuses on AI-assisted surgery with a specific focus on analysis of intraoperative video data. The goal is to democratize surgical skills and enhance the collaboration between surgeons and cyber-physical systems by quantifying surgical experience and make it accessible to machines. Several examples to optimize the therapy of the individual patient along the surgical treatment path are given. Finally, remaining challenges and strategies to overcome them are discussed.
Stefanie Speidel
"Democratizing surgical skills via surgical data science", Proc. SPIE 12928, Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling, 129280H (30 March 2024); https://doi.org/10.1117/12.3012626
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Stefanie Speidel, "Democratizing surgical skills via surgical data science," Proc. SPIE 12928, Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling, 129280H (30 March 2024); https://doi.org/10.1117/12.3012626