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Learning surgical concepts directly from noisy intraoperative data could revolutionize how we assess surgical margins in real-time.
Despite advances in AI-driven surgical skill assessment, reliably tracking hands and tools in open surgery videos remains a surprisingly difficult problem, hindering motion-based analysis.
