Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review
Y Cai, YQ Cai, LY Tang, YH Wang, M Gong, TC Jing… - BMC medicine, 2024 - Springer
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 …
disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external …
[HTML][HTML] Artificial intelligence and cardiovascular risk prediction: all that glitters is not gold
Artificial intelligence (AI) is a broad term referring to any automated systems that need
'intelligence'to carry out specific tasks. During the last decade, AI-based techniques have …
'intelligence'to carry out specific tasks. During the last decade, AI-based techniques have …
How artificial intelligence tools can be used to assess individual patient risk in cardiovascular disease: problems with the current methods
E Grossi - BMC cardiovascular Disorders, 2006 - Springer
Background In recent years a number of algorithms for cardiovascular risk assessment has
been proposed to the medical community. These algorithms consider a number of variables …
been proposed to the medical community. These algorithms consider a number of variables …
[HTML][HTML] Artificial intelligence models for predicting cardiovascular diseases in people with type 2 diabetes: a systematic review
Background People with type 2 diabetes have a higher risk of cardiovascular disease
morbidity and mortality. We aim to distil the evidence, summarize the developments, and …
morbidity and mortality. We aim to distil the evidence, summarize the developments, and …
Five critical quality criteria for artificial intelligence-based prediction models
To raise the quality of clinical artificial intelligence (AI) prediction modelling studies in the
cardiovascular health domain and thereby improve their impact and relevancy, the editors …
cardiovascular health domain and thereby improve their impact and relevancy, the editors …
Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk
Abstract Background The use of Cardiovascular Disease (CVD) risk estimation scores in
primary prevention has long been established. However, their performance still remains a …
primary prevention has long been established. However, their performance still remains a …
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review
Abstract Background Artificial Intelligence (AI), in particular, machine learning (ML) has
shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD) …
shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD) …
[HTML][HTML] Can machine-learning improve cardiovascular risk prediction using routine clinical data?
Background Current approaches to predict cardiovascular risk fail to identify many people
who would benefit from preventive treatment, while others receive unnecessary intervention …
who would benefit from preventive treatment, while others receive unnecessary intervention …
Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review
Background The field of precision medicine endeavors to transform the healthcare industry
by advancing individualised strategies for diagnosis, treatment modalities, and predictive …
by advancing individualised strategies for diagnosis, treatment modalities, and predictive …
Use of artificial intelligence to assess the risk of coronary artery disease without additional (non-invasive) testing: validation in a low-risk to intermediate-risk outpatient …
CGMJ Eurlings, S Bektas, S Sanders-van Wijk… - BMJ open, 2022 - bmjopen.bmj.com
Objectives Predicting the presence or absence of coronary artery disease (CAD) is clinically
important. Pretest probability (PTP) and CAD consortium clinical (CAD2) model and risk …
important. Pretest probability (PTP) and CAD consortium clinical (CAD2) model and risk …