AIMC Topic: Cerebral Hemorrhage

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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 Tomography, X-Ray Computed Female Aged Humans Magnetic Resonance Imaging Cerebral Hemorrhage Pneumonia Stroke Sensitivity and Specificity Male Middle Aged Deep Learning
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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...
Hospital Mortality Cerebral Hemorrhage Machine Learning Humans Female Prognosis Aged Retrospective Studies Male Intensive Care Units Middle Aged
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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...
Aged, 80 and over Male Middle Aged Deep Learning Cerebral Hemorrhage Survival Analysis Prognosis Tomography, X-Ray Computed Female Aged Humans
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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...
Humans Machine Learning Tomography, X-Ray Computed Hematoma Disease Progression Cerebral Hemorrhage Predictive Value of Tests
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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.
Male Oxidative Stress Single-Cell Analysis Mice Machine Learning Algorithms Animals Microglia Monocytes Sequence Analysis, RNA Disease Models, Animal Cerebral Hemorrhage Humans
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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 Retrospective Studies Female Aged Aged, 80 and over Male Middle Aged Humans Cerebral Hemorrhage Machine Learning Pneumonia Prognosis
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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 Middle Aged Proteomics Biomarkers Humans Cerebral Hemorrhage Prognosis Machine Learning Female Algorithms Aged
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Machine learning-based model for predicting outcomes in cerebral hemorrhage patients with leukemia.

European journal of radiology Jun 1, 2024
BACKGROUND AND PURPOSE: Intracranial hemorrhage (ICH) in leukemia patients progresses rapidly with high mortality. Limited data are available on imaging studies in this population. The study aims to develop prediction models for 7-day and short-term ...
Humans Machine Learning Prognosis Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Male Middle Aged Cerebral Hemorrhage Adolescent Predictive Value of Tests Leukemia
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Can machine learning predict late seizures after intracerebral hemorrhages? Evidence from real-world data.

Epilepsy & behavior : E&B May 30, 2024
INTRODUCTION: Intracerebral hemorrhage represents 15 % of all strokes and it is associated with a high risk of post-stroke epilepsy. However, there are no reliable methods to accurately predict those at higher risk for developing seizures despite the...
Middle Aged Cerebral Hemorrhage Seizures Aged Aged, 80 and over Male Humans Machine Learning Female
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Improved differentiation of cavernous malformation and acute intraparenchymal hemorrhage on CT using an AI algorithm.

Scientific reports May 23, 2024
This study aimed to evaluate the utility of an artificial intelligence (AI) algorithm in differentiating between cerebral cavernous malformation (CCM) and acute intraparenchymal hemorrhage (AIH) on brain computed tomography (CT). A retrospective, mul...
Adolescent Cerebral Hemorrhage Diagnosis, Differential Hemangioma, Cavernous, Central Nervous System Adult Humans Male Middle Aged Artificial Intelligence Tomography, X-Ray Computed Algorithms Female Brain Aged Retrospective Studies Young Adult
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