AIMC Topic: Cardiovascular Diseases
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Prediction of cardiovascular and renal risk among patients with apparent treatment-resistant hypertension in the United States using machine learning methods.
Journal of clinical hypertension (Greenwich, Conn.)
Mar 24, 2024
Apparent treatment-resistant hypertension (aTRH), defined as blood pressure (BP) that remains uncontrolled despite unconfirmed concurrent treatment with three antihypertensives, is associated with an increased risk of developing cardiovascular and re...
Predictive analytics for cardiovascular patient readmission and mortality: An explainable approach.
Computers in biology and medicine
Mar 20, 2024
BACKGROUND: Cardiovascular patients experience high rates of adverse outcomes following discharge from hospital, which may be preventable through early identification and targeted action. This study aimed to investigate the effectiveness and explaina...
Deep learning of movement behavior profiles and their association with markers of cardiometabolic health.
BMC medical informatics and decision making
Mar 13, 2024
BACKGROUND: Traditionally, existing studies assessing the health associations of accelerometer-measured movement behaviors have been performed with few averaged values, mainly representing the duration of physical activities and sedentary behaviors. ...
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...
BREATH-Net: a novel deep learning framework for NO prediction using bi-directional encoder with transformer.
Environmental monitoring and assessment
Mar 4, 2024
Air pollution poses a significant challenge in numerous urban regions, negatively affecting human well-being. Nitrogen dioxide (NO) is a prevalent atmospheric pollutant that can potentially exacerbate respiratory ailments and cardiovascular disorders...
Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management.
Cell metabolism
Feb 29, 2024
The rise of artificial intelligence (AI) has revolutionized various scientific fields, particularly in medicine, where it has enabled the modeling of complex relationships from massive datasets. Initially, AI algorithms focused on improved interpreta...
hART: Deep learning-informed lifespan heart failure risk trajectories.
International journal of medical informatics
Feb 19, 2024
BACKGROUND: Heart failure (HF) results in persistent risk and long-term comorbidities. This is particularly true for patients with lifelong HF sequelae of cardiovascular disease such as patients with congenital heart disease (CHD).
Implications of Bias in Artificial Intelligence: Considerations for Cardiovascular Imaging.
Current atherosclerosis reports
Feb 16, 2024
PURPOSE OF REVIEW: Bias in artificial intelligence (AI) models can result in unintended consequences. In cardiovascular imaging, biased AI models used in clinical practice can negatively affect patient outcomes. Biased AI models result from decisions...
Improving deep-learning electrocardiogram classification with an effective coloring method.
Artificial intelligence in medicine
Feb 9, 2024
Cardiovascular diseases, particularly arrhythmias, remain a leading cause of mortality worldwide. Electrocardiogram (ECG) analysis plays a pivotal role in cardiovascular disease diagnosis. Although previous studies have focused on waveform analysis a...
Prediction of certainty in artificial intelligence-enabled electrocardiography.
Journal of electrocardiology
Feb 8, 2024
BACKGROUND: The 12‑lead ECG provides an excellent substrate for artificial intelligence (AI) enabled prediction of various cardiovascular diseases. However, a measure of prediction certainty is lacking.
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