AIMC Topic: Cerebral Hemorrhage

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Deep learning models for separate segmentations of intracerebral and intraventricular hemorrhage on head CT and segmentation quality assessment.

Medical physics Aug 12, 2024
BACKGROUND: The volume measurement of intracerebral hemorrhage (ICH) and intraventricular hemorrhage (IVH) provides critical information for precise treatment of patients with spontaneous ICH but remains a big challenge, especially for IVH segmentati...
Quality Control Head Deep Learning Image Processing, Computer-Assisted Cerebral Hemorrhage Humans Tomography, X-Ray Computed
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Phenotypes of Patients with Intracerebral Hemorrhage, Complications, and Outcomes.

Neurocritical care Aug 6, 2024
BACKGROUND: The objective of this study was to define clinically meaningful phenotypes of intracerebral hemorrhage (ICH) using machine learning.
Humans Machine Learning Male Middle Aged Cerebral Hemorrhage Seizures Phenotype Female Aged Outcome Assessment, Health Care Hematoma Glasgow Coma Scale
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A Deep Learning-Based Framework for Predicting Intracerebral Hematoma Expansion Using Head Non-contrast CT Scan.

Academic radiology Aug 5, 2024
RATIONALE AND OBJECTIVES: Hematoma expansion (HE) in intracerebral hemorrhage (ICH) is a critical factor affecting patient outcomes, yet effective clinical tools for predicting HE are currently lacking. We aim to develop a fully automated framework b...
Cerebral Hemorrhage Hematoma Humans Prospective Studies Tomography, X-Ray Computed Retrospective Studies Female Middle Aged Aged Deep Learning Sensitivity and Specificity Male
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Enhancing Outcome Prediction in Intracerebral Hemorrhage Through Deep Learning: A Retrospective Multicenter Study.

Academic radiology Aug 1, 2024
RATIONALE AND OBJECTIVES: This study aimed to employ deep learning techniques to analyze and validate an automatic prognostic biomarker for predicting outcomes following intracerebral hemorrhage (ICH).
Prognosis Retrospective Studies Tomography, X-Ray Computed Female Aged Deep Learning Humans Male Cerebral Hemorrhage Predictive Value of Tests Middle Aged Glasgow Coma Scale
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Advancements in prognostic markers and predictive models for intracerebral hemorrhage: from serum biomarkers to artificial intelligence models.

Neurosurgical review Jul 31, 2024
Intracerebral hemorrhage (ICH) is a severe form of stroke with high morbidity and mortality, accounting for 10-15% of all strokes globally. Recent advancements in prognostic biomarkers and predictive models have shown promise in enhancing the predict...
Biomarkers Humans Prognosis Artificial Intelligence Cerebral Hemorrhage Machine Learning
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Development and validation of radiology-clinical statistical and machine learning model for stroke-associated pneumonia after first intracerebral haemorrhage.

BMC pulmonary medicine Jul 24, 2024
BACKGROUND: Society is burdened with stroke-associated pneumonia (SAP) after intracerebral haemorrhage (ICH). Cerebral small vessel disease (CSVD) complicates clinical manifestations of stroke. In this study, we redefined the CSVD burden score and in...
Humans Logistic Models Machine Learning Models, Statistical Tomography, X-Ray Computed Risk Factors Retrospective Studies Pneumonia Aged, 80 and over Female Aged Cerebral Hemorrhage Stroke Male Cerebral Small Vessel Diseases Middle Aged
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Artificial intelligence/machine learning for neuroimaging to predict hemorrhagic transformation: Systematic review/meta-analysis.

Journal of neuroimaging : official journal of the American Society of Neuroimaging Jul 21, 2024
BACKGROUND AND PURPOSE: Early and reliable prediction of hemorrhagic transformation (HT) in patients with acute ischemic stroke (AIS) is crucial for treatment decisions and early intervention. The purpose of this study was to conduct a systematic rev...
Ischemic Stroke Neuroimaging Humans Artificial Intelligence Machine Learning Cerebral Hemorrhage
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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...
Tomography, X-Ray Computed Female Aged Middle Aged ROC Curve Aged, 80 and over Male Neural Networks, Computer Machine Learning Retrospective Studies Humans Cerebral Hemorrhage Hematoma
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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...
Male Middle Aged Deep Learning Tomography, X-Ray Computed ROC Curve Female Cerebral Hemorrhage Aged Algorithms Neural Networks, Computer Prognosis Artificial Intelligence Retrospective Studies Humans
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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...
Deep Learning Image Processing, Computer-Assisted Cerebral Hemorrhage Semantics Neural Networks, Computer Humans Algorithms Machine Learning Tomography, X-Ray Computed
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