scholar.google.com › citations
Introduction. Many of the morphological features of aneurysms, including the aspect ratio,6 size ratio, height and bottleneck factor, are considered to be correlated with and have been used to predict aneurysm rupture.
A novel convolutional neural network (CNN) model was used for rupture risk prediction retrospectively of 123 aneurysm cases.
People also ask
Are there warning signs days before an aneurysm?
How long can you have a brain aneurysm before it bursts?
What are the odds of a brain aneurysm rupturing?
At what size do aneurysms burst?
Aug 24, 2023 · Several clinical scales for aneurysm rupture prediction have been developed. The most common scales are PHASES, ELAPSS, and UIATS.
Jan 6, 2024 · ML algorithms can effectively predict the risk of rupture in cerebral aneurysms with good levels of accuracy, sensitivity, and specificity.
People also search for
Related conditions
For informational purposes only. Consult your local medical authority for advice.
Being located on ICA, having regular shape and absence of hypertension are the main reasons for unruptured prediction, outweighing other rupture-prone factors ...
Jul 9, 2024 · Our models demonstrated exceptional performance in predicting cerebral aneurysm rupture, with accuracy ranging from 0.76 to 0.82 and precision ...
This review aims to summarize the current knowledge on risk factors and predictive indicators of rupture in cerebral aneurysms.
Oct 26, 2020 · In this paper, we suggest a new way to predict the rupture risks in cerebral aneurysms by using fluid–structure interaction (FSI) analysis for better decision- ...
Nov 2, 2024 · The primary objective of this study is to predict the rupture status of cerebral aneurysms using a comprehensive dataset that includes clinical, ...
Apr 14, 2023 · While rupture is rare (occurring in less than 1% of cases), a ruptured IA has a high chance of leading to death. Treatments such as endovascular ...