AIMC Topic: Cerebral Hemorrhage

Clear Filters Showing 71 to 80 of 170 articles

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...
Female Aged Male Middle Aged Humans Thrombolytic Therapy Tomography, X-Ray Computed Fibrinolytic Agents Endovascular Procedures White Matter Deep Learning Treatment Outcome Cerebral Hemorrhage Ischemic Stroke
View on PubMed DOI

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
View on PubMed DOI

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...
Humans Algorithms Sensitivity and Specificity Male Middle Aged Deep Learning Brain Retrospective Studies Female Aged Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Cerebral Small Vessel Diseases Magnetic Resonance Imaging Cerebral Hemorrhage
View on PubMed DOI

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.
Predictive Value of Tests Patient Discharge Retrospective Studies Tomography, X-Ray Computed Female Aged Male Middle Aged Deep Learning Cerebral Hemorrhage Humans Prognosis
View on PubMed DOI

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...
Humans Retrospective Studies Treatment Outcome Support Vector Machine Cerebral Hemorrhage Hematoma Propensity Score
View on PubMed DOI

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).
Thrombectomy Aged Radiography, Dual-Energy Scanned Projection Aged, 80 and over Humans Male Deep Learning Retrospective Studies Middle Aged Cerebral Hemorrhage Tomography, X-Ray Computed Predictive Value of Tests Female Ischemic Stroke
View on PubMed DOI

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.
Radiomics Male Middle Aged Deep Learning Nomograms Cerebral Hemorrhage Predictive Value of Tests Hematoma Retrospective Studies Tomography, X-Ray Computed Female Aged Humans
View on PubMed DOI

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...
Functional Status China Aged Disability Evaluation Time Factors Cerebral Hemorrhage Humans Adult Double-Blind Method Treatment Outcome Recovery of Function Prospective Studies Male Multicenter Studies as Topic Drugs, Chinese Herbal Female Randomized Controlled Trials as Topic Middle Aged Acute Disease
View on PubMed DOI

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).
Humans Basal Ganglia Prognosis Intracranial Hemorrhage, Hypertensive Retrospective Studies Basal Ganglia Hemorrhage Middle Aged Drainage Female China Robotics Treatment Outcome Infant, Newborn Hematoma Cerebral Hemorrhage Adult Endoscopy
View on PubMed DOI

Deep learning based on susceptibility-weighted MR sequence for detecting cerebral microbleeds and classifying cerebral small vessel disease.

Biomedical engineering online Oct 17, 2023
BACKGROUND: Cerebral microbleeds (CMBs) serve as neuroimaging biomarkers to assess risk of intracerebral hemorrhage and diagnose cerebral small vessel disease (CSVD). Therefore, detecting CMBs can evaluate the risk of intracerebral hemorrhage and use...
Retrospective Studies Deep Learning Magnetic Resonance Imaging Cerebral Hemorrhage Cerebral Small Vessel Diseases Humans
View on PubMed DOI
Popular Topics
Recent Journals