On an internal dataset of 38 simulated surgical trials, operating room event detection from digital twin inputs (segmentation masks plus depth maps) matches or slightly exceeds detection from raw RGB video, while removing identifiable visual content.
Digital twins as a unifying framework for surgical data science: the enabling role of geometric scene understanding
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Privacy-Preserving Operating Room Workflow Analysis using Digital Twins
On an internal dataset of 38 simulated surgical trials, operating room event detection from digital twin inputs (segmentation masks plus depth maps) matches or slightly exceeds detection from raw RGB video, while removing identifiable visual content.