SurgViVQA: Temporally-Grounded Video Question Answering for Surgical Scene Understanding

arXiv — cs.CV•Thursday, November 6, 2025 at 5:00:00 AM

SurgViVQA: Temporally-Grounded Video Question Answering for Surgical Scene Understanding

SurgViVQA is a groundbreaking model designed to improve Video Question Answering in surgical settings by focusing on the temporal aspects of surgical events. Unlike previous methods that relied on static images, this innovative approach allows AI to understand the dynamics of surgical procedures, which is crucial for accurate interpretation. This advancement not only enhances intraoperative understanding but also has the potential to significantly improve surgical training and outcomes, making it a noteworthy development in the field of medical AI.

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