AIMC Topic: Heart Disease Risk Factors
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Development and validation of a cardiovascular risk prediction model for Sri Lankans using machine learning.
PloS one
Oct 22, 2024
INTRODUCTION AND OBJECTIVES: Sri Lankans do not have a specific cardiovascular (CV) risk prediction model and therefore, World Health Organization(WHO) risk charts developed for the Southeast Asia Region are being used. We aimed to develop a CV risk ...
Image-based ECG analyzing deep-learning algorithm to predict biological age and mortality risks: interethnic validation.
Journal of cardiovascular medicine (Hagerstown, Md.)
Sep 12, 2024
BACKGROUND: Cardiovascular risk assessment is a critical component of healthcare, guiding preventive and therapeutic strategies. In this study, we developed and evaluated an image-based electrocardiogram (ECG) analyzing an artificial intelligence (AI...
Development of oculomics artificial intelligence for cardiovascular risk factors: A case study in fundus oculomics for HbA1c assessment and clinically relevant considerations for clinicians.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Aug 28, 2024
Artificial Intelligence (AI) is transforming healthcare, notably in ophthalmology, where its ability to interpret images and data can significantly enhance disease diagnosis and patient care. Recent developments in oculomics, the integration of ophth...
Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors.
BMC medical informatics and decision making
Jul 22, 2024
OBJECTIVE: To develop and validate machine learning models for predicting coronary artery disease (CAD) within a Taiwanese cohort, with an emphasis on identifying significant predictors and comparing the performance of various models.
Can Artificial Intelligence Change our Interpretation of Cardiovascular Risk Scores?
Arquivos brasileiros de cardiologia
Jul 19, 2024
A Systematic Review of Artificial Intelligence Models for Time-to-Event Outcome Applied in Cardiovascular Disease Risk Prediction.
Journal of medical systems
Jul 19, 2024
Artificial intelligence (AI) based predictive models for early detection of cardiovascular disease (CVD) risk are increasingly being utilised. However, AI based risk prediction models that account for right-censored data have been overlooked. This sy...
Digital twins: reimagining the future of cardiovascular risk prediction and personalised care.
Hellenic journal of cardiology : HJC = Hellenike kardiologike epitheorese
Jun 7, 2024
The rapid evolution of highly adaptable and reusable artificial intelligence models facilitates the implementation of digital twinning and has the potential to redefine cardiovascular risk prevention. Digital twinning combines vast amounts of data fr...
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...
Aged
Carotid Artery Diseases
Humans
Male
Coronary Angiography
Decision Support Techniques
Middle Aged
Carotid Intima-Media Thickness
Deep Learning
Coronary Artery Disease
Risk Assessment
Prognosis
Carotid Arteries
Time Factors
Heart Disease Risk Factors
Female
Plaque, Atherosclerotic
Canada
Image Interpretation, Computer-Assisted
Risk Factors
Predictive Value of Tests
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