AIMC Topic: Mesenteric Arteries

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Artificial Intelligence for Identification of Images with Active Bleeding in Mesenteric and Celiac Arteries Angiography.

Cardiovascular and interventional radiology Mar 26, 2024
PURPOSE: The purpose of this study is to evaluate the efficacy of an artificial intelligence (AI) model designed to identify active bleeding in digital subtraction angiography images for upper gastrointestinal bleeding.
Humans Artificial Intelligence Algorithms Retrospective Studies Female Aged Adult Sensitivity and Specificity Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Embolization, Therapeutic Celiac Artery Gastrointestinal Hemorrhage Angiography, Digital Subtraction Mesenteric Arteries
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Automated Detection and Diameter Estimation for Mouse Mesenteric Artery Using Semantic Segmentation.

Journal of vascular research Jun 28, 2021
BACKGROUND: Pressurized myography is useful for the assessment of small artery structures and function. However, this procedure requires technical expertise for sample preparation and effort to choose an appropriate sized artery. In this study, we de...
Neural Networks, Computer Machine Learning Phenotype Female Animals Male Mice Genotype Mice, Inbred C57BL Predictive Value of Tests Microscopy Image Interpretation, Computer-Assisted Automation Arterial Pressure Mice, Transgenic Myography Mesenteric Arteries Mesenteric Veins
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