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Anterior Cerebral Artery

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Prediction of rupture risk in anterior communicating artery aneurysms with a feed-forward artificial neural network.

European radiology 29476219
OBJECTIVES: Anterior communicating artery (ACOM) aneurysms are the most common intracranial aneurysms, and predicting their rupture risk is challenging. We aimed to predict this risk using a two-layer feed-forward artificial neural network (ANN).
Adult Age Factors Aged Aged, 80 and over Aneurysm, Ruptured Anterior Cerebral Artery Cerebral Angiography Computed Tomography Angiography Decision Making Female Humans Intracranial Aneurysm Male Middle Aged Models, Biological Neural Networks, Computer Predictive Value of Tests Risk Factors ROC Curve Young Adult
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