SOURCE-LINKED INTELLIGENCE
SurgSkill-Bench: A Benchmark for Multimodal Surgical Skill Assessment
Objective assessment of surgical technical skill is important for surgical training and structured feedback, but current workflows remain dependent on labor-intensive expert review. Existing automated approaches primarily focus on visual inputs and provide limited support for jointly studying operative performance, structured skill scores, and evaluator feedback. We introduce SurgSkill-Bench, an initial video-score-text benchmark-style dataset containing 214 surgical training simulation videos, six-dimensional OSATS scores, and expert free-text comments. We define two evaluation settings: vide
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T14:32:45.000Z
First collected: 2026-09-21T06:41:57.136Z. This is not the publication date.