Last Posted: Jun 25, 2024
- Intelligent deep model based on convolutional neural network's and multi-layer perceptron to classify cardiac abnormality in diabetic patients.
Monika Saraswat et al. Phys Eng Sci Med 2024 - Comprehensive clinical application analysis of artificial intelligence-enabled electrocardiograms for screening multiple valvular heart diseases.
Yu-Ting Lin et al. Aging (Albany NY) 2024 16 - Role of artificial intelligence in early detection of congenital heart diseases in neonates.
Haris Ejaz et al. Front Digit Health 2024 51345814 - What to Know About PREVENT, the AHA's New Cardiovascular Disease Risk Calculator.
Howard Larkin et al. JAMA 2023 12 - A Systematic Review: Do the Use of Machine Learning, Deep Learning, and Artificial Intelligence Improve Patient Outcomes in Acute Myocardial Ischemia Compared to Clinician-Only Approaches?
Binay K Panjiyar et al. Cureus 2023 15(8) e43003 - A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease
JW Hughes et al, NPJ Digital Medicine, September 12, 2023 - Return-to-Play for Elite Athletes With Genetic Heart Diseases Predisposing to Sudden Cardiac Death.
Katherine A Martinez et al. J Am Coll Cardiol 2023 82(8) 661-670 - Cardiac Failure Forecasting Based on Clinical Data Using a Lightweight Machine Learning Metamodel.
Istiak Mahmud et al. Diagnostics (Basel) 2023 13(15) - Detection of Cardiovascular Disease from Clinical Parameters Using a One-Dimensional Convolutional Neural Network.
Mohammad Mahbubur Rahman Khan Mamun et al. Bioengineering (Basel) 2023 10(7) - Health status and comorbidities of adult patients with phenylketonuria (PKU) in France with a focus on early-diagnosed patients - A nationwide study of health insurance claims data.
Sybil Charrière et al. Mol Genet Metab 2023 139(3) 107625
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