2 papers
cs.CV2025
SurgViVQA: Temporally-Grounded Video Question Answering for Surgical Scene Understanding
Mauro Orazio Drago, Luca Carlini, Pelinsu Celebi Balyemez +7
Video Question Answering (VideoQA) in the surgical domain aims to enhance intraoperative understanding by enabling AI models to reason over temporally coherent events rather than i…
cs.CV2025
When to Trust the Answer: Question-Aligned Semantic Nearest Neighbor Entropy for Safer Surgical VQA
Luca Carlini, Dennis Pierantozzi, Mauro Orazio Drago +6
Safety and reliability are critical for deploying visual question answering (VQA) systems in surgery, where incorrect or ambiguous responses can cause patient harm. A key limitatio…