AIMC Topic: Cardiovascular Diseases
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Deep convolutional fuzzy neural networks with stork optimization on chronic cardiovascular disease monitoring for pervasive healthcare services.
Scientific reports
May 30, 2025
Cardiovascular disease (CVD) is one of the severe disorders that requires effectual solutions. CVD mainly affects heart functionality in the human body. The impacts of heart disorders are hazardous, which primarily spread from arrhythmia and higher h...
Application of machine learning algorithms in osteoporosis analysis based on cardiovascular health assessed by life's essential 8: a cross-sectional study.
Journal of health, population, and nutrition
May 29, 2025
BACKGROUND: Life's Essential 8 (LE8) for assessing cardiovascular health (CVH) has been demonstrated to be inversely associated with osteoporosis (OP). This study aims to create a machine learning (ML) model to assess the clinical association value o...
Construction of a machine learning-based risk prediction model for depression in middle-aged and elderly patients with cardiovascular metabolic diseases in China: a longitudinal study.
BMC public health
May 23, 2025
BACKGROUND: The incidence of cardiovascular metabolic diseases (CMD) continues to rise among middle-aged and elderly populations, affecting not only physical health but also significantly increasing the risk of depression. This study aims to construc...
Predicting cardiovascular risk with hybrid ensemble learning and explainable AI.
Scientific reports
May 23, 2025
Cardiovascular diseases (CVDs) are still one of the leading causes of death globally, underscoring the importance of early and right risk prediction for effective preventive measures and therapeutic approaches. This study proposes an innovative hybri...
The Benefits and Challenges of Digitally-Enabled Cardiology.
British journal of hospital medicine (London, England : 2005)
May 23, 2025
Digital health technologies, including artificial intelligence, offer immense potential to revolutionise cardiology by improving patient care, enhancing efficiency, and increasing access to specialised services. Benefits may include precision medicin...
Triple cardiovascular disease detection with an artificial intelligence-enabled stethoscope (TRICORDER): design and rationale for a decentralised, real-world cluster-randomised controlled trial and implementation study.
BMJ open
May 21, 2025
INTRODUCTION: Early detection of cardiovascular disease in primary care is a public health priority, for which the clinical and cost-effectiveness of an artificial intelligence-enabled stethoscope that detects left ventricular systolic dysfunction, a...
Artificial intelligence to improve cardiovascular population health.
European heart journal
May 21, 2025
With the advent of artificial intelligence (AI), novel opportunities arise to revolutionize healthcare delivery and improve population health. This review provides a state-of-the-art overview of recent advancements in AI technologies and their applic...
Breast Arterial Calcifications on Mammography: A Review of the Literature.
Journal of breast imaging
May 17, 2025
Identifying systemic disease with medical imaging studies may improve population health outcomes. Although the pathogenesis of peripheral arterial calcification and coronary artery calcification differ, breast arterial calcification (BAC) on mammogra...
A validated multivariable machine learning model to predict cardio-kidney risk in diabetic kidney disease.
Cardiovascular diabetology
May 15, 2025
BACKGROUND: Individuals with diabetic kidney disease (DKD) often suffer cardiac and kidney events. We sought to develop an accurate means by which to stratify risk in DKD.
Male
Predictive Value of Tests
Humans
Reproducibility of Results
Heart Diseases
Machine Learning
Cardiovascular Diseases
Risk Factors
Risk Assessment
Middle Aged
Aged
Prognosis
Heart Disease Risk Factors
Decision Support Techniques
Time Factors
Female
Sodium-Glucose Transporter 2 Inhibitors
Diabetic Nephropathies
Biomarkers
Application of Artificial Intelligence in Cardio-Oncology Imaging for Cancer Therapy-Related Cardiovascular Toxicity: Systematic Review.
JMIR cancer
May 9, 2025
BACKGROUND: Artificial intelligence (AI) is a revolutionary tool yet to be fully integrated into several health care sectors, including medical imaging. AI can transform how medical imaging is conducted and interpreted, especially in cardio-oncology.
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