AIMC Topic: Cerebral Hemorrhage

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Brain is also time: good short-term outcome predictions of artificial intelligence in spontaneous intracerebral hemorrhage pave the way for the long-term assessment.

European radiology Feb 23, 2024
Brain Prognosis Cerebral Hemorrhage Humans Artificial Intelligence
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Prediction of Hematoma Expansion in Intracerebral Hemorrhage in 24 Hours by Machine Learning Algorithm.

World neurosurgery Feb 22, 2024
OBJECTIVE: The significance of noncontrast computer tomography (CT) image markers in predicting hematoma expansion (HE) following intracerebral hemorrhage (ICH) within different time intervals in the initial 24 hours after onset may be uncertain. Hen...
Time Factors Cerebral Hemorrhage Predictive Value of Tests Male Middle Aged Disease Progression Hematoma Humans Machine Learning Algorithms Female Aged Retrospective Studies Tomography, X-Ray Computed
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Accuracy of automated segmentation and volumetry of acute intracerebral hemorrhage following minimally invasive surgery using a patch-based convolutional neural network in a small dataset.

Neuroradiology Feb 17, 2024
PURPOSE: In cases of acute intracerebral hemorrhage (ICH) volume estimation is of prognostic and therapeutic value following minimally invasive surgery (MIS). The ABC/2 method is widely used, but suffers from inaccuracies and is time consuming. Super...
Machine Learning Tomography, X-Ray Computed Aged Aged, 80 and over Humans Neural Networks, Computer Cerebral Hemorrhage Minimally Invasive Surgical Procedures Male Middle Aged Image Processing, Computer-Assisted
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Predicting hematoma expansion in acute spontaneous intracerebral hemorrhage: integrating clinical factors with a multitask deep learning model for non-contrast head CT.

Neuroradiology Feb 10, 2024
PURPOSE: To predict hematoma growth in intracerebral hemorrhage patients by combining clinical findings with non-contrast CT imaging features analyzed through deep learning.
Retrospective Studies Tomography, X-Ray Computed Deep Learning Humans Cerebral Hemorrhage Hematoma
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Automated detection of fatal cerebral haemorrhage in postmortem CT data.

International journal of legal medicine Feb 8, 2024
During the last years, the detection of different causes of death based on postmortem imaging findings became more and more relevant. Especially postmortem computed tomography (PMCT) as a non-invasive, relatively cheap, and fast technique is progress...
Tomography, X-Ray Computed Humans Neural Networks, Computer Machine Learning Support Vector Machine Male Algorithms Cerebral Hemorrhage Middle Aged Retrospective Studies Imaging, Three-Dimensional Aged Adult Autopsy Postmortem Imaging Female
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Deep learning-based white matter lesion volume on CT is associated with outcome after acute ischemic stroke.

European radiology Jan 29, 2024
BACKGROUND: Intravenous thrombolysis (IVT) before endovascular treatment (EVT) for acute ischemic stroke might induce intracerebral hemorrhages which could negatively affect patient outcomes. Measuring white matter lesions size using deep learning (D...
Deep Learning Treatment Outcome Cerebral Hemorrhage Fibrinolytic Agents Endovascular Procedures White Matter Ischemic Stroke Thrombolytic Therapy Female Humans Male Aged Tomography, X-Ray Computed Middle Aged
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Editorial for "Deep-Learning-Based MRI Microbleeds Detection for Cerebral Small Vessel Disease on Quantitative Susceptibility Mapping".

Journal of magnetic resonance imaging : JMRI Dec 29, 2023
Humans Cerebral Hemorrhage Deep Learning Brain Cerebral Small Vessel Diseases Magnetic Resonance Imaging
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Deep-Learning-Based MRI Microbleeds Detection for Cerebral Small Vessel Disease on Quantitative Susceptibility Mapping.

Journal of magnetic resonance imaging : JMRI Dec 27, 2023
BACKGROUND: Cerebral microbleeds (CMB) are indicators of severe cerebral small vessel disease (CSVD) that can be identified through hemosiderin-sensitive sequences in MRI. Specifically, quantitative susceptibility mapping (QSM) and deep learning were...
Image Interpretation, Computer-Assisted Cerebral Small Vessel Diseases Retrospective Studies Female Aged Deep Learning Humans Sensitivity and Specificity Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging Male Brain Cerebral Hemorrhage Middle Aged
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CT-based deep learning model for predicting hospital discharge outcome in spontaneous intracerebral hemorrhage.

European radiology Dec 21, 2023
OBJECTIVES: To predict the functional outcome of patients with intracerebral hemorrhage (ICH) using deep learning models based on computed tomography (CT) images.
Female Aged Male Cerebral Hemorrhage Predictive Value of Tests Middle Aged Deep Learning Prognosis Retrospective Studies Tomography, X-Ray Computed Humans Patient Discharge
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Prognostication of Outcomes in Spontaneous Intracerebral Hemorrhage: A Propensity Score-Matched Analysis with Support Vector Machine.

World neurosurgery Nov 24, 2023
OBJECTIVE: The role of surgery in spontaneous intracerebral hemorrhage (SICH) remains controversial. We aimed to use explainable machine learning (ML) combined with propensity-score matching to investigate the effects of surgery and identify subgroup...
Propensity Score Support Vector Machine Humans Cerebral Hemorrhage Retrospective Studies Hematoma Treatment Outcome
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