arXiv Machine Learning By Hanna Hoffmann, Felix von Bechtolsheim, Stefanie Speidel, Rebecca Hisey

Looking Beyond the Scale: Do Surgical Skill Models Learn Transferable Representations Across Assessment Rubrics?

Read the original on arXiv Machine Learning →

arXiv:2608. 17519v1 Announce Type: cross Abstract: Vision-based surgical skill assessment has shown strong in-domain results, yet a fundamental question remains unasked: do these models learn transferable representations of surgical proficiency, or do they merely encode dataset-specific visual patterns?

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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