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Temporal Modeling in Surgical Video: Addressing Frame-by-Frame Limitations of Current ML Architectures in Robotic Surgery

Machine learning is increasingly empowering surgical robotics. For example, innovations like Medtronic’s Hugo integrate AI-driven video analytics such as Touch Surgery. These tools can segment procedural steps in real time, provide actionable insights to surgeons, and when trained on diverse … Read More