AIMC Topic: Ischemic Stroke

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Deciphering Necroptosis-Associated Molecular Subtypes in Acute Ischemic Stroke Through Bioinformatics and Machine Learning Analysis.

Journal of molecular neuroscience : MN Jan 2, 2025
Acute ischemic stroke (AIS) is a severe disorder characterized by complex pathophysiological processes, which can lead to disability and death. This study aimed to determine necroptosis-associated genes in acute ischemic stroke (AIS) and to investiga...
Gene Regulatory Networks Computational Biology Necroptosis Ischemic Stroke Humans Machine Learning Transcriptome Protein Interaction Maps
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Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model.

Stroke and vascular neurology Dec 30, 2024
BACKGROUND: Identification of futile recanalisation following endovascular therapy (EVT) in patients with acute ischaemic stroke is both crucial and challenging. Here, we present a novel risk stratification system based on hybrid machine learning met...
Humans Machine Learning Female Reproducibility of Results Risk Factors Aged Decision Support Techniques Databases, Factual Prospective Studies Clinical Decision-Making Endovascular Procedures Medical Futility Time Factors Treatment Outcome Predictive Value of Tests Aged, 80 and over Ischemic Stroke Male Middle Aged Risk Assessment
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Rationale and design of the GOLDEN BRIDGE II: a cluster-randomised multifaceted intervention trial of an artificial intelligence-based cerebrovascular disease clinical decision support system to improve stroke outcomes and care quality in China.

Stroke and vascular neurology Dec 30, 2024
BACKGROUND: Given the swift advancements in artificial intelligence (AI), the utilisation of AI-based clinical decision support systems (AI-CDSSs) has become increasingly prevalent in the medical domain, particularly in the management of cerebrovascu...
Randomized Controlled Trials as Topic Ischemic Stroke Quality Improvement Quality Indicators, Health Care Time Factors Decision Support Systems, Clinical Treatment Outcome Multicenter Studies as Topic Humans Artificial Intelligence Clinical Decision-Making Female Male China
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Predictive modelling of hospital-acquired infection in acute ischemic stroke using machine learning.

Scientific reports Dec 28, 2024
Hospital-acquired infections (HAIs) are serious complication for patients with acute ischemic stroke (AIS), often resulting in poor functional outcomes. However, no existing model can specifically predict HAI in AIS patients. Therefore, we employed t...
Cross Infection Middle Aged ROC Curve Ischemic Stroke Female Humans Aged Machine Learning Aged, 80 and over Algorithms Male Prognosis
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Predicting the likelihood of readmission in patients with ischemic stroke: An explainable machine learning approach using common data model data.

International journal of medical informatics Dec 26, 2024
BACKGROUND: Ischemic stroke affects 15 million people worldwide, causing five million deaths annually. Despite declining mortality rates, stroke incidence and readmission risks remain high, highlighting the need for preventing readmission to improve ...
Male Humans Electronic Health Records Middle Aged Machine Learning Ischemic Stroke Republic of Korea Retrospective Studies Patient Readmission Female Aged
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A wrapper method for finding optimal subset of multimodal Magnetic Resonance Imaging sequences for ischemic stroke lesion segmentation.

Computers in biology and medicine Dec 25, 2024
Multimodal data, while being information-rich, contains complementary as well as redundant information. Depending on the target problem some modalities are more informative and thus relevant for decision-making. Identifying the optimal subset of moda...
Databases, Factual Image Processing, Computer-Assisted Magnetic Resonance Imaging Multimodal Imaging Ischemic Stroke Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Screening prediction models using artificial intelligence for moderate-to-severe obstructive sleep apnea in patients with acute ischemic stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Dec 24, 2024
BACKGROUND: Obstructive sleep apnea (OSA) is common after stroke. Still, routine screening of OSA with polysomnography (PSG) is often unfeasible in clinical practice, primarily because of how limited resources are and the physical condition of patien...
Humans Artificial Intelligence Severity of Illness Index Predictive Value of Tests Machine Learning Aged Sleep Ischemic Stroke Decision Support Techniques Sleep Apnea, Obstructive Polysomnography Male Female Middle Aged Risk Factors Risk Assessment
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Using clinical data to reclassify ESUS patients to large artery atherosclerotic or cardioembolic stroke mechanisms.

Journal of neurology Dec 21, 2024
PURPOSE: Embolic stroke of unidentified source (ESUS) represents 10-25% of all ischemic strokes. Our goal was to determine whether ESUS could be reclassified to cardioembolic (CE) or large-artery atherosclerosis (LAA) with machine learning (ML) using...
Atherosclerosis Embolic Stroke Aged, 80 and over Male Middle Aged Ischemic Stroke Retrospective Studies Female Aged Humans Machine Learning
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Machine Learning-Based Model for Prediction of Post-Stroke Cognitive Impairment in Acute Ischemic Stroke: A Cross-Sectional Study.

Neurology India Dec 17, 2024
BACKGROUND AND OBJECTIVE: Early identification of post-stroke cognitive impairment (PSCI) is an important challenge for clinicians. In this study, we aimed to build a machine learning-based prediction model for PSCI and uncover potential risk factors...
Middle Aged Risk Factors Humans Cognitive Dysfunction Mental Status and Dementia Tests Machine Learning Aged Logistic Models Female Cross-Sectional Studies Ischemic Stroke Male
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ECG-based machine learning model for AF identification in patients with first ischemic stroke.

International journal of stroke : official journal of the International Stroke Society Dec 13, 2024
BACKGROUND: The recurrence rate of strokes associated with atrial fibrillation (AF) can be substantially reduced through the administration of oral anticoagulants. However, previous studies have not demonstrated a clear benefit from the universal app...
Ischemic Stroke Atrial Fibrillation Male Middle Aged Electrocardiography Taiwan Humans Neural Networks, Computer Machine Learning Female Aged Aged, 80 and over
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