Gaze-following models on extended 4D-OR and Team-OR datasets reach F1 scores of 0.92 for clinical role prediction and 0.95 for surgical phase recognition while improving team communication detection by over 30%.
Mosaic: a web-based plat- form for collaborative medical video assessment and annotation
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GEN-Guard detects generalization failures in federated surgical AI via client-blocked evaluation and corrects them via disagreement-aware distillation, yielding reported gains on in-federation, unseen-institution, and worst-case performance.
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Where are they looking in the operating room?
Gaze-following models on extended 4D-OR and Team-OR datasets reach F1 scores of 0.92 for clinical role prediction and 0.95 for surgical phase recognition while improving team communication detection by over 30%.
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GEN-Guard: Correcting Generalization Failures for Deployable Federated Surgical AI
GEN-Guard detects generalization failures in federated surgical AI via client-blocked evaluation and corrects them via disagreement-aware distillation, yielding reported gains on in-federation, unseen-institution, and worst-case performance.