Enhancing critical view of safety recognition using vision foundation models and state-space temporal modeling.

Rui Guo¹, Benjamin Mueller², Xiaorui Zhang², Xi Liu²

¹Digital Solutions, Intuitive Surgical, 5655 Spalding Drive, Peachtree Corners, GA, 30092, USA. rui.guo@intusurg.com.

²Digital Solutions, Intuitive Surgical, 5655 Spalding Drive, Peachtree Corners, GA, 30092, USA.

Abstract

PURPOSE: The Critical View of Safety (CVS) is a clinically mandated criterion for reducing bile duct injury during laparoscopic cholecystectomy; however, its automated recognition from endoscopic video remains challenging due to visual occlusion, depth ambiguity, and the inherently progressive nature of CVS formation across time. This work aims to develop a robust and clinically interpretable fram…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.