AIMC Topic: Asymptomatic Diseases

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Epicardial adipose tissue, myocardial remodelling and adverse outcomes in asymptomatic aortic stenosis: a post hoc analysis of a randomised controlled trial.

Heart (British Cardiac Society) Jun 26, 2025
BACKGROUND: Epicardial adipose tissue represents a metabolically active visceral fat depot that is in direct contact with the left ventricular myocardium. While it is associated with coronary artery disease, little is known regarding its role in aort...
Humans Prospective Studies Female Aged Male Ventricular Function, Left Adipose Tissue Ventricular Remodeling Asymptomatic Diseases Computed Tomography Angiography Pericardium Epicardial Adipose Tissue Echocardiography Middle Aged Disease Progression Severity of Illness Index Aortic Valve Stenosis
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Artificial intelligence quantification and experienced reader computed tomography analysis for differentiating normal from minimally and mildly diseased coronary arteries: an early real-world compatibility study.

The international journal of cardiovascular imaging Feb 28, 2025
Differentiating normal from minimally and mildly diseased coronary arteries on coronary computed tomographic angiography (CCTA) is crucial, impacting treatment decisions due to the extremely low coronary artery event risk associated with the former. ...
Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Asymptomatic Diseases Female Computed Tomography Angiography Reproducibility of Results Humans Severity of Illness Index Aged Artificial Intelligence Predictive Value of Tests Retrospective Studies Male Coronary Angiography Middle Aged Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation
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A recursive embedding and clustering technique for unraveling asymptomatic kidney disease using laboratory data and machine learning.

Scientific reports Feb 17, 2025
Traditional methods for diagnosing chronic kidney disease (CKD) via laboratory data may not be capable of identifying early kidney disease. Kidney biopsy is unsuitable for regular screening, and imaging tests are costly and time-consuming. Several st...
Humans Machine Learning Algorithms Female Aged Adult Creatinine Male Asymptomatic Diseases Middle Aged Renal Insufficiency, Chronic Glomerular Filtration Rate Cluster Analysis
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AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects.

Atherosclerosis Dec 22, 2024
BACKGROUND AND AIMS: The significance of left ventricular mass and chamber volumes from non-contrast computed tomography (CT) for predicting major adverse cardiovascular events (MACE) has not been studied. Our objective was to evaluate the role of ar...
Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Heart Ventricles Vascular Calcification Asymptomatic Diseases Aged Male Middle Aged Risk Assessment Deep Learning Humans Artificial Intelligence Prognosis Tomography, X-Ray Computed Female
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Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations.

The international journal of cardiovascular imaging Oct 7, 2024
PURPOSE: This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic mal...
Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Running Athletes Aged Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Vessels Asymptomatic Diseases Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Humans Artificial Intelligence Prospective Studies Reproducibility of Results
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AI-enabled cardiac chambers volumetry in coronary artery calcium scans (AI-CAC) predicts heart failure and outperforms NT-proBNP: The multi-ethnic study of Atherosclerosis.

Journal of cardiovascular computed tomography Apr 24, 2024
INTRODUCTION: Coronary artery calcium (CAC) scans contain useful information beyond the Agatston CAC score that is not currently reported. We recently reported that artificial intelligence (AI)-enabled cardiac chambers volumetry in CAC scans (AI-CAC™...
Humans Artificial Intelligence Biomarkers Prognosis Female Middle Aged Risk Assessment Incidence Predictive Value of Tests Time Factors Heart Failure Reproducibility of Results Coronary Angiography United States Natriuretic Peptide, Brain Risk Factors Peptide Fragments Multidetector Computed Tomography Aged Radiographic Image Interpretation, Computer-Assisted Vascular Calcification Aged, 80 and over Coronary Artery Disease Asymptomatic Diseases Male Computed Tomography Angiography
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Opportunistic Screening for Asymptomatic Left Ventricular Dysfunction With the Use of Electrocardiographic Artificial Intelligence: A Cost-Effectiveness Approach.

The Canadian journal of cardiology Dec 11, 2023
BACKGROUND: The burden of asymptomatic left ventricular dysfunction (LVD) is greater than that of heart failure; however, a cost-effective tool for asymptomatic LVD screening has not been well validated. We aimed to prospectively validate an artifici...
Electrocardiography Mass Screening Taiwan Cost-Benefit Analysis Ventricular Dysfunction, Left Asymptomatic Diseases Aged Humans Male Artificial Intelligence Middle Aged Algorithms Risk Assessment Prospective Studies ROC Curve Female
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Artificial intelligence outperforms standard blood-based scores in identifying liver fibrosis patients in primary care.

Scientific reports Feb 21, 2022
For years, hepatologists have been seeking non-invasive methods able to detect significant liver fibrosis. However, no previous algorithm using routine blood markers has proven to be clinically appropriate in primary care. We present a novel approach...
Humans Artificial Intelligence Prospective Studies Biomarkers Primary Health Care Female Liver Cirrhosis Adult Chronic Disease Male Biopsy Middle Aged Asymptomatic Diseases Elasticity Imaging Techniques
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Machine learning models for screening carotid atherosclerosis in asymptomatic adults.

Scientific reports Nov 15, 2021
Carotid atherosclerosis (CAS) is a risk factor for cardiovascular and cerebrovascular events, but duplex ultrasonography isn't recommended in routine screening for asymptomatic populations according to medical guidelines. We aim to develop machine le...
Asymptomatic Diseases Carotid Artery Diseases ROC Curve Models, Theoretical Humans Mass Screening Machine Learning Support Vector Machine Biomarkers Disease Susceptibility Female Aged Male Middle Aged
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Predicting subclinical psychotic-like experiences on a continuum using machine learning.

NeuroImage Jul 22, 2021
Previous studies applying machine learning methods to psychosis have primarily been concerned with the binary classification of chronic schizophrenia patients and healthy controls. The aim of this study was to use electroencephalographic (EEG) data a...
Proof of Concept Study Acoustic Stimulation Male Humans Asymptomatic Diseases Adolescent Machine Learning Auditory Perception Predictive Value of Tests Female Electroencephalography Young Adult Psychotic Disorders Adult
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