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Cerebral Hemorrhage

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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...
Algorithms Retrospective Studies Tomography, X-Ray Computed Female Humans Neural Networks, Computer Machine Learning Imaging, Three-Dimensional Support Vector Machine Cerebral Hemorrhage Autopsy Postmortem Imaging Aged Adult Male Middle Aged
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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...
White Matter Thrombolytic Therapy Cerebral Hemorrhage Humans Male Fibrinolytic Agents Ischemic Stroke Tomography, X-Ray Computed Middle Aged Endovascular Procedures Female Deep Learning Aged Treatment Outcome
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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
Cerebral Hemorrhage Cerebral Small Vessel Diseases Humans Brain Deep Learning 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 Processing, Computer-Assisted Magnetic Resonance Imaging Cerebral Hemorrhage Image Interpretation, Computer-Assisted Sensitivity and Specificity Male Middle Aged Deep Learning Cerebral Small Vessel Diseases Humans Algorithms Brain Retrospective Studies Female 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.
Tomography, X-Ray Computed Female Aged Male Middle Aged Humans Prognosis Retrospective Studies Deep Learning Cerebral Hemorrhage Predictive Value of Tests 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...
Hematoma Propensity Score Retrospective Studies Treatment Outcome Support Vector Machine Cerebral Hemorrhage Humans
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Prediction of cerebral hemorrhagic transformation after thrombectomy using a deep learning of dual-energy CT.

European radiology Nov 11, 2023
OBJECTIVES: To develop and validate a deep learning model for predicting hemorrhagic transformation after endovascular thrombectomy using dual-energy computed tomography (CT).
Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Predictive Value of Tests Male Ischemic Stroke Middle Aged Thrombectomy Deep Learning Radiography, Dual-Energy Scanned Projection Cerebral Hemorrhage
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Prediction of early hematoma expansion of spontaneous intracerebral hemorrhage based on deep learning radiomics features of noncontrast computed tomography.

European radiology Nov 8, 2023
OBJECTIVES: Aimed to develop a nomogram model based on deep learning features and radiomics features for the prediction of early hematoma expansion.
Nomograms Humans Cerebral Hemorrhage Retrospective Studies Predictive Value of Tests Tomography, X-Ray Computed Male Hematoma Aged Female Middle Aged Radiomics Deep Learning
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Efficacy and Safety of Chinese Herbal Medicine in Patients with Acute Intracerebral Hemorrhage: Protocol for a Randomized Placebo-Controlled Double-Blinded Multicenter Trial.

Cerebrovascular diseases (Basel, Switzerland) Oct 26, 2023
INTRODUCTION: The popular traditional Chinese medicine (TCM) compound FYTF-919 (Zhong Feng Xing Nao prescription) may improve outcome from acute intracerebral hemorrhage (ICH) through effects on brain edema, hematoma absorption, and the immune system...
Double-Blind Method Time Factors Adult Drugs, Chinese Herbal Humans Treatment Outcome Recovery of Function Male Functional Status Randomized Controlled Trials as Topic Prospective Studies Middle Aged Multicenter Studies as Topic China Cerebral Hemorrhage Acute Disease Female Disability Evaluation Aged
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Impact of Endoscopic Surgery Versus Robot CAS-R-2 Assisted with Stereotactic Drainage on Prognosis of Basal Ganglia Hypertensive Intracerebral Hemorrhage.

World neurosurgery Oct 26, 2023
OBJECTIVE: To evaluate the impact of endoscopic surgery (ES) versus robot CAS-R-2 assisted with stereotactic drainage on prognosis of basal ganglia hypertensive intracerebral hemorrhage (HICH).
Basal Ganglia Prognosis Intracranial Hemorrhage, Hypertensive Treatment Outcome Retrospective Studies Humans Basal Ganglia Hemorrhage Drainage Cerebral Hemorrhage Female Robotics Infant, Newborn Hematoma Adult Endoscopy Middle Aged China
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