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Applications Of Deep Learning With Detecting Intracranial Aneurysms On Ct Angiograms: A Literature Review, Christian Fang, Emily Wang
Applications Of Deep Learning With Detecting Intracranial Aneurysms On Ct Angiograms: A Literature Review, Christian Fang, Emily Wang
Rowan-Virtua Research Day
INTRODUCTION
Deep learning is a method of artificial intelligence involving progressively layered neural networks to extrapolate patterns from data to provide predictions. Moreover, given the arduous nature required for examining CT scans for intracranial aneurysms, discovering ways to expedite this process is beneficial. The use of deep learning to evaluate CT angiograms for intracranial aneurysms has been sparsely studied. This literature review aims to determine the accuracy and reliability of deep learning to analyze CT angiograms in patients suspected to have intracranial aneurysms.
METHODS
A qualitative review of literature using PubMed, SCOPUS, and EMBASE was conducted. Inclusion criteria comprised articles …