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Foreign Object Contextual Understanding for Safe Surgical AI. Addressing patient safety challenges in minimally invasive surgery through systematic VLM benchmarking.

View Competition Tracks

Three Competition Tracks

Transitions from instantaneous perception to long-context intraoperative reasoning.

FRAME Track

The FRAME Track evaluates a model's ability to answer clinically relevant questions from a single image. This track targets core surgical scene understanding skills such as foreign object detection, identification, attribute recognition, and spatial localization within a single moment in time.

SEGMENT Track

The SEGMENT Track focuses on short video segments (up to 5 min), requiring models to incorporate local temporal context to answer questions about foreign objects and their interactions with anatomy and instruments.

PROCEDURE Track

The PROCEDURE Track challenges models with long surgical video contexts, ranging from extended segments to full-length laparoscopic procedures, to assess their capacity for long-term memory, persistent tracking, and global reasoning.