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

Yiftach BarashAdva LivneEyal KlangVera SorinIsrael CohenBoris KhaitovichDaniel Raskin

Published in: Cardiovascular and interventional radiology (2024)

In this study, we explored the application of AI in mesenteric and celiac artery angiography for detecting active bleeding. The results of this study show the potential of an AI-based algorithm to accurately classify images with active bleeding. Further studies using a larger dataset are needed to improve accuracy and allow segmentation of the bleeding.

Keyphrases

artificial intelligence
deep learning
optical coherence tomography
machine learning
atrial fibrillation
convolutional neural network
big data
computed tomography
risk assessment
climate change