AIMC Topic: Cerebral Hemorrhage

Clear Filters Showing 41 to 50 of 162 articles

Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using a multimodal neural network.

Scientific reports Jul 16, 2024
Hematoma expansion occasionally occurs in patients with intracerebral hemorrhage (ICH), associating with poor outcome. Multimodal neural networks incorporating convolutional neural network (CNN) analysis of images and neural network analysis of tabul...
Male Middle Aged ROC Curve Cerebral Hemorrhage Female Aged Aged, 80 and over Hematoma Humans Neural Networks, Computer Machine Learning Retrospective Studies Tomography, X-Ray Computed
View on PubMed DOI

An interpretable artificial intelligence model based on CT for prognosis of intracerebral hemorrhage: a multicenter study.

BMC medical imaging Jul 9, 2024
OBJECTIVES: To develop and validate a novel interpretable artificial intelligence (AI) model that integrates radiomic features, deep learning features, and imaging features at multiple semantic levels to predict the prognosis of intracerebral hemorrh...
ROC Curve Cerebral Hemorrhage Retrospective Studies Tomography, X-Ray Computed Female Aged Male Middle Aged Deep Learning Humans Neural Networks, Computer Artificial Intelligence Algorithms Prognosis
View on PubMed DOI

Multi-scale object equalization learning network for intracerebral hemorrhage region segmentation.

Neural networks : the official journal of the International Neural Network Society Jul 4, 2024
Segmentation and the subsequent quantitative assessment of the target object in computed tomography (CT) images provide valuable information for the analysis of intracerebral hemorrhage (ICH) pathology. However, most existing methods lack a reasonabl...
Algorithms Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Machine Learning Cerebral Hemorrhage Semantics
View on PubMed DOI

DeepSAP: A Novel Brain Image-Based Deep Learning Model for Predicting Stroke-Associated Pneumonia From Spontaneous Intracerebral Hemorrhage.

Academic radiology Jul 2, 2024
RATIONALE AND OBJECTIVE: Stroke-associated pneumonia (SAP) often appears as a complication following intracerebral hemorrhage (ICH), leading to poor prognosis and increased mortality rates. Previous studies have typically developed prediction models ...
Retrospective Studies Sensitivity and Specificity Humans Tomography, X-Ray Computed Magnetic Resonance Imaging Male Female Middle Aged Cerebral Hemorrhage Aged Deep Learning Pneumonia Stroke
View on PubMed DOI

Machine learning for the prediction of in-hospital mortality in patients with spontaneous intracerebral hemorrhage in intensive care unit.

Scientific reports Jun 20, 2024
This study aimed to develop a machine learning (ML)-based tool for early and accurate prediction of in-hospital mortality risk in patients with spontaneous intracerebral hemorrhage (sICH) in the intensive care unit (ICU). We did a retrospective study...
Aged Male Middle Aged Humans Cerebral Hemorrhage Hospital Mortality Retrospective Studies Machine Learning Intensive Care Units Prognosis Female
View on PubMed DOI

Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan.

European stroke journal Jun 16, 2024
BACKGROUND: Predicting functional impairment after intracerebral hemorrhage (ICH) provides valuable information for planning of patient care and rehabilitation strategies. Current prognostic tools are limited in making long term predictions and requi...
Tomography, X-Ray Computed Female Aged Aged, 80 and over Male Humans Cerebral Hemorrhage Middle Aged Prognosis Deep Learning Survival Analysis
View on PubMed DOI

Machine learning for predicting hematoma expansion in spontaneous intracerebral hemorrhage: a systematic review and meta-analysis.

Neuroradiology Jun 12, 2024
PURPOSE: Early identification of hematoma enlargement and persistent hematoma expansion (HE) in patients with cerebral hemorrhage is increasingly crucial for determining clinical treatments. However, due to the lack of clinically effective tools, rad...
Disease Progression Humans Cerebral Hemorrhage Machine Learning Predictive Value of Tests Tomography, X-Ray Computed Hematoma
View on PubMed DOI

Machine learning algorithms integrate bulk and single-cell RNA data to unveil oxidative stress following intracerebral hemorrhage.

International immunopharmacology Jun 11, 2024
BACKGROUND: Increased oxidative stress (OS) activity following intracerebral hemorrhage (ICH) had significantly impacting patient prognosis. Identifying optimal genes associated with OS could enhance the understanding of OS after ICH.
Algorithms Animals Male Oxidative Stress Single-Cell Analysis Mice Monocytes Humans Machine Learning Microglia Sequence Analysis, RNA Disease Models, Animal Cerebral Hemorrhage
View on PubMed DOI

A Novel Machine Learning Model for Predicting Stroke-Associated Pneumonia After Spontaneous Intracerebral Hemorrhage.

World neurosurgery Jun 4, 2024
BACKGROUND: Pneumonia is one of the most common complications after spontaneous intracerebral hemorrhage (sICH), i.e., stroke-associated pneumonia (SAP). Timely identification of targeted patients is beneficial to reduce poor prognosis. So far, there...
Predictive Value of Tests Stroke Male Middle Aged Humans Cerebral Hemorrhage Female Machine Learning Pneumonia Aged Prognosis Aged, 80 and over Retrospective Studies
View on PubMed DOI

Prognostic biomarkers of intracerebral hemorrhage identified using targeted proteomics and machine learning algorithms.

PloS one Jun 3, 2024
Early prognostication of patient outcomes in intracerebral hemorrhage (ICH) is critical for patient care. We aim to investigate protein biomarkers' role in prognosticating outcomes in ICH patients. We assessed 22 protein biomarkers using targeted pro...
Male Biomarkers Cerebral Hemorrhage Humans Middle Aged Prognosis Machine Learning Proteomics Female Algorithms Aged
View on PubMed DOI
Popular Topics
Recent Journals