AIMC Topic: Rupture, Spontaneous

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Development and validation of a machine learning model for predicting vulnerable carotid plaques using routine blood biomarkers and derived indicators: insights into sex-related risk patterns.

Cardiovascular diabetology Aug 10, 2025
BACKGROUND: Early detection of vulnerable carotid plaques is critical for stroke prevention. This study aimed to develop a machine learning model based on routine blood tests and derived indices to predict plaque vulnerability and assess sex-specific...
Biomarkers Prognosis Retrospective Studies Female Reproducibility of Results Humans Machine Learning Predictive Value of Tests Sex Factors Rupture, Spontaneous Plaque, Atherosclerotic Carotid Artery Diseases Risk Factors Aged Male Middle Aged Risk Assessment
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Modeling the prediction of spontaneous rupture and bleeding in hepatocellular carcinoma via machine learning algorithms.

Scientific reports Jul 1, 2025
This study aimed to identify the risk factors associated with spontaneous rupture and bleeding in hepatocellular carcinoma, establish a prediction model for spontaneous rupture bleeding via a machine learning algorithm, and validate and evaluate the ...
Liver Neoplasms Carcinoma, Hepatocellular Hemorrhage Rupture, Spontaneous Risk Factors Aged Adult Male Middle Aged Humans Machine Learning Algorithms Retrospective Studies Female
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Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.

JACC. Cardiovascular imaging May 15, 2024
BACKGROUND: A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization.
Risk Assessment Severity of Illness Index Hemodynamics Time Factors Predictive Value of Tests Reproducibility of Results Risk Factors Aged Male Middle Aged Rupture, Spontaneous Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography Coronary Circulation Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Acute Coronary Syndrome Coronary Vessels Humans Artificial Intelligence Prognosis Female
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Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection.

Scientific reports Apr 26, 2021
Machine learning (ML) and deep learning (DL) can successfully predict high prevalence events in very large databases (big data), but the value of this methodology for risk prediction in smaller cohorts with uncommon diseases and infrequent events is ...
Deep Learning Hospital Mortality Coronary Artery Disease Coronary Vessels Rupture, Spontaneous Models, Cardiovascular Female Adult Humans Databases, Factual Electronic Health Records Male Middle Aged Risk Assessment
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From CT to artificial intelligence for complex assessment of plaque-associated risk.

The international journal of cardiovascular imaging Jul 2, 2020
The recent technological developments in the field of cardiac imaging have established coronary computed tomography angiography (CCTA) as a first-line diagnostic tool in patients with suspected coronary artery disease (CAD). CCTA offers robust inform...
Severity of Illness Index Coronary Stenosis Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Heart Disease Risk Factors Coronary Vessels Rupture, Spontaneous Plaque, Atherosclerotic Computed Tomography Angiography Humans Machine Learning Prognosis Reproducibility of Results Risk Assessment
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Automated Detection of Vulnerable Plaque for Intravascular Optical Coherence Tomography Images.

Cardiovascular engineering and technology Sep 18, 2019
PURPOSE: Vulnerable plaque detection is important to acute coronary syndrome (ACS) diagnosis. In recent years, intravascular optical coherence tomography (IVOCT) imaging has been used for vulnerable plaque detection. Current automated detection metho...
Humans Neural Networks, Computer Prognosis Reproducibility of Results Diagnosis, Computer-Assisted Predictive Value of Tests Tomography, Optical Coherence Coronary Artery Disease Image Interpretation, Computer-Assisted Automation Coronary Vessels Rupture, Spontaneous Plaque, Atherosclerotic
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Prediction of coronary thin-cap fibroatheroma by intravascular ultrasound-based machine learning.

Atherosclerosis May 4, 2019
BACKGROUND AND AIMS: Although grayscale intravascular ultrasound (IVUS) is commonly used for assessing coronary lesion morphology and optimizing stent implantation, detection of vulnerable plaques by IVUS remains challenging. We aimed to develop mach...
Plaque, Atherosclerotic Coronary Stenosis Coronary Artery Disease Fibrosis Image Interpretation, Computer-Assisted Coronary Vessels Rupture, Spontaneous Predictive Value of Tests Tomography, Optical Coherence Bayes Theorem Ultrasonography, Interventional Humans Neural Networks, Computer Male Middle Aged Risk Assessment Disease Progression Diagnosis, Computer-Assisted Machine Learning Female Reproducibility of Results Risk Factors Aged
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Prospective Assessment of a Symptomatic Cerebral Vasospasm Predictive Neural Network Model.

World neurosurgery Jul 5, 2016
INTRODUCTION: The author introduced a symptomatic cerebral vasospasm (SCV) prediction model built with freeware based on a 91-patient dataset. In a prospective test group of 22 patients at the same hospital, this model outperformed logistic regressio...
Aneurysm, Ruptured Intracranial Aneurysm Ultrasonography, Doppler, Transcranial Logistic Models Subarachnoid Hemorrhage Vasospasm, Intracranial Rupture, Spontaneous Cerebral Angiography Humans Neural Networks, Computer Prospective Studies Female Reproducibility of Results Aged Male Middle Aged Risk Assessment
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An autopsy case of cardiac tamponade caused by a ruptured ventricular aneurysm associated with acute myocarditis.

Legal medicine (Tokyo, Japan) Dec 8, 2015
We report an autopsy case of hemopericardium caused by rupture of a ventricular aneurysm associated with acute myocarditis in an infant boy aged 2 years and 10 months. Three days before his death, the patient developed fever. On the day of death, he ...
Cardiac Tamponade Heart Ventricles Autopsy Immunohistochemistry Rupture, Spontaneous Aneurysm, Ruptured Humans Male Child, Preschool Myocarditis
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Natural History of Cerebral Aneurysms: Risk Factors for Rupture and Implications for Management.

Neuroimaging clinics of North America Aug 1, 2025
Intracranial aneurysms, affecting 2% to 3% of adults, present a significant health challenge due to their potential for sudden rupture, which entails high morbidity, mortality, and economic costs. Advances in computational neuroimaging, computational...
Rupture, Spontaneous Aneurysm, Ruptured Intracranial Aneurysm Humans Artificial Intelligence Risk Factors Risk Assessment Disease Management Neuroimaging
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