Mortality Prediction of Patients with Subarachnoid Hemorrhage Using a Deep Learning Model Based on an Initial Brain CT Scan

Mortality Prediction of Patients with Subarachnoid Hemorrhage Using a Deep Learning Model Based on an Initial Brain CT Scan

Background: Subarachnoid hemorrhage (SAH) entails high morbidity and mortality rates. Convolutional neural networks (CNN) are capable of generating highly accurate predictions from imaging data. Our objective was to predict mortality in SAH patients by processing initial CT scans using a CNN-based a...

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Bibliographic Details
Main Authors: Sergio García-García, Santiago Cepeda, Dominik Müller, Alejandra Mosteiro, Ramón Torné, Silvia Agudo, Natalia de la Torre, Ignacio Arrese, Rosario Sarabia
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Brain Sciences
Subjects:
subarachnoid hemorrhage
convolutional neural networks
artificial intelligence
mortality
prognosis
CT scan
Online Access:https://www.mdpi.com/2076-3425/14/1/10

Internet

https://www.mdpi.com/2076-3425/14/1/10

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