AIMC Topic: Heart Disease Risk Factors
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Beyond Years: Is Artificial Intelligence Ready to Predict Biological Age and Cardiovascular Risk Using Echocardiography?
Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
May 24, 2024
Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data.
BMC medical informatics and decision making
May 2, 2024
BACKGROUND: Machine learning (ML) classifiers are increasingly used for predicting cardiovascular disease (CVD) and related risk factors using omics data, although these outcomes often exhibit categorical nature and class imbalances. However, little ...
Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort.
The international journal of cardiovascular imaging
Apr 28, 2024
The quantification of carotid plaque has been routinely used to predict cardiovascular risk in cardiovascular disease (CVD) and coronary artery disease (CAD). To determine how well carotid plaque features predict the likelihood of CAD and cardiovascu...
Carotid Artery Diseases
Image Interpretation, Computer-Assisted
Carotid Intima-Media Thickness
Carotid Arteries
Plaque, Atherosclerotic
Male
Coronary Angiography
Coronary Artery Disease
Middle Aged
Heart Disease Risk Factors
Prognosis
Risk Assessment
Deep Learning
Female
Humans
Time Factors
Risk Factors
Decision Support Techniques
Canada
Aged
Predictive Value of Tests
Prediction of cardiovascular risk factors from retinal fundus photographs: Validation of a deep learning algorithm in a prospective non-interventional study in Kenya.
Diabetes, obesity & metabolism
Apr 15, 2024
AIM: Hypertension and diabetes mellitus (DM) are major causes of morbidity and mortality, with growing burdens in low-income countries where they are underdiagnosed and undertreated. Advances in machine learning may provide opportunities to enhance d...
Advanced cardiac imaging, machine learning, and heart age for cardiovascular risk stratification.
The international journal of cardiovascular imaging
Apr 13, 2024
Deep Learning to Estimate Cardiovascular Risk From Chest Radiographs : A Risk Prediction Study.
Annals of internal medicine
Mar 26, 2024
BACKGROUND: Guidelines for primary prevention of atherosclerotic cardiovascular disease (ASCVD) recommend a risk calculator (ASCVD risk score) to estimate 10-year risk for major adverse cardiovascular events (MACE). Because the necessary inputs are o...
Artificial intelligence in preventive cardiology.
Progress in cardiovascular diseases
Mar 7, 2024
Artificial intelligence (AI) is a field of study that strives to replicate aspects of human intelligence into machines. Preventive cardiology, a subspeciality of cardiovascular (CV) medicine, aims to target and mitigate known risk factors for CV dise...
Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review.
BMC medicine
Feb 5, 2024
BACKGROUND: A comprehensive overview of artificial intelligence (AI) for cardiovascular disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external validation are lacking. This systematic review aims to identify, descr...
Heart disease risk factors detection from electronic health records using advanced NLP and deep learning techniques.
Scientific reports
May 3, 2023
Heart disease remains the major cause of death, despite recent improvements in prediction and prevention. Risk factor identification is the main step in diagnosing and preventing heart disease. Automatically detecting risk factors for heart disease i...
Can deep learning on retinal images augment known risk factors for cardiovascular disease prediction in diabetes? A prospective cohort study from the national screening programme in Scotland.
International journal of medical informatics
Apr 18, 2023
AIMS: This study's objective was to evaluate whether deep learning (DL) on retinal photographs from a diabetic retinopathy screening programme improve prediction of incident cardiovascular disease (CVD).
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