AIMC Topic: Subarachnoid Hemorrhage

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Safety and efficacy of a novel robotic transcranial doppler system in subarachnoid hemorrhage.

Scientific reports Feb 10, 2022
Delayed cerebral ischemia (DCI) secondary to vasospasm is a determinate of outcomes following non-traumatic subarachnoid hemorrhage (SAH). SAH patients are monitored using transcranial doppler (TCD) to measure cerebral blood flow velocities (CBFv). H...
Humans Retrospective Studies Female Robotics Central Venous Catheters Subarachnoid Hemorrhage Ultrasonography, Doppler, Transcranial Aged Male Middle Aged
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Deep Learning-Based Detection and Diagnosis of Subarachnoid Hemorrhage.

Journal of healthcare engineering Nov 22, 2021
Subarachnoid hemorrhage (SAH) is one of the critical and severe neurological diseases with high morbidity and mortality. Head computed tomography (CT) is among the preferred methods for the diagnosis of SAH, which is confirmed by CT showing high-dens...
Humans Tomography, X-Ray Computed Bayes Theorem Subarachnoid Hemorrhage Reproducibility of Results Deep Learning
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Release of Hyaluronan in Aneurysmal Subarachnoid Hemorrhage and Cerebral Vasospasm: A Pilot Study Indicating a Shedding of the Endothelial Glycocalyx.

Journal of neurosurgical anesthesiology Oct 28, 2021
BACKGROUND: This pilot study investigated plasma concentrations of hyaluronan, heparan sulfate, and syndecan-1 as possible biomarkers for glycocalyx integrity after aneurysmal subarachnoid hemorrhage (aSAH).
Vasospasm, Intracranial Heparitin Sulfate Humans Pilot Projects Subarachnoid Hemorrhage Glycocalyx Hyaluronic Acid Syndecan-1
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Artificial Intelligence Trained by Deep Learning Can Improve Computed Tomography Diagnosis of Nontraumatic Subarachnoid Hemorrhage by Nonspecialists.

Neurologia medico-chirurgica Sep 16, 2021
Subarachnoid hemorrhage (SAH) is a serious cerebrovascular disease with a high mortality rate and is known as a disease that is hard to diagnose because it may be overlooked by noncontrast computed tomography (NCCT) examinations that are most frequen...
Humans Tomography, X-Ray Computed Artificial Intelligence Deep Learning Subarachnoid Hemorrhage
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CRP (C-Reactive Protein) in Outcome Prediction After Subarachnoid Hemorrhage and the Role of Machine Learning.

Stroke Jul 9, 2021
BACKGROUND AND PURPOSE: Outcome prediction after aneurysmal subarachnoid hemorrhage (aSAH) is challenging. CRP (C-reactive protein) has been reported to be associated with outcome, but it is unclear if this is independent of other predictors and appl...
Female Reproducibility of Results Aged Young Adult Humans Machine Learning Prognosis Support Vector Machine Models, Statistical Predictive Value of Tests ROC Curve C-Reactive Protein Logistic Models Subarachnoid Hemorrhage Treatment Outcome Adult Male Middle Aged
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Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage.

Neuroradiology Apr 10, 2021
PURPOSE: To evaluate whether a deep learning model (DLM) could increase the detection sensitivity of radiologists for intracranial aneurysms on CT angiography (CTA) in aneurysmal subarachnoid hemorrhage (aSAH).
Angiography, Digital Subtraction Cerebral Angiography Intracranial Aneurysm Deep Learning Radiologists Subarachnoid Hemorrhage Humans Sensitivity and Specificity
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Dynamic Detection of Delayed Cerebral Ischemia: A Study in 3 Centers.

Stroke Feb 18, 2021
BACKGROUND AND PURPOSE: Delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage negatively impacts long-term recovery but is often detected too late to prevent damage. We aim to develop hourly risk scores using routinely collected cl...
Risk Factors Middle Aged Subarachnoid Hemorrhage Aged Neurophysiological Monitoring Brain Ischemia Humans Male Machine Learning Female
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Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning.

Scientific reports Dec 11, 2020
In aneurysmal subarachnoid hemorrhage (aSAH), accurate diagnosis of aneurysm is essential for subsequent treatment to prevent rebleeding. However, aneurysm detection proves to be challenging and time-consuming. The purpose of this study was to develo...
Aged Adult Humans Female Intracranial Aneurysm Subarachnoid Hemorrhage Male Computed Tomography Angiography Middle Aged Cerebral Angiography Deep Learning
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Machine Learning to Predict Delayed Cerebral Ischemia and Outcomes in Subarachnoid Hemorrhage.

Neurology Nov 12, 2020
OBJECTIVE: To determine whether machine learning (ML) algorithms can improve the prediction of delayed cerebral ischemia (DCI) and functional outcomes after subarachnoid hemorrhage (SAH).
Machine Learning Prospective Studies Humans Retrospective Studies Female Predictive Value of Tests Subarachnoid Hemorrhage Brain Ischemia Aged Adult Male Middle Aged Time Factors Treatment Outcome
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Machine learning prediction of the adverse outcome for nontraumatic subarachnoid hemorrhage patients.

Annals of clinical and translational neurology Sep 29, 2020
OBJECTIVE: Subarachnoid hemorrhage (SAH) is often devastating with increased early mortality, particularly in those with presumed delayed cerebral ischemia (DCI). The ability to accurately predict survival for SAH patients during the hospital course ...
Middle Aged Subarachnoid Hemorrhage Vasoconstrictor Agents Aged Adult Male Outcome Assessment, Health Care Brain Ischemia Humans Machine Learning Databases, Factual Female
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