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JACC. Advances
Showing 11 to 20 of 26 articles
Postdevelopment Performance and Validation of the Artificial Intelligence-Enhanced Electrocardiogram for Detection of Cardiac Amyloidosis.
JACC. Advances
Sep 14, 2023
BACKGROUND: We have previously applied artificial intelligence (AI) to an electrocardiogram (ECG) to detect cardiac amyloidosis (CA).
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Artificial Intelligence in Action: Enhancing Electrocardiogram Analysis for Patient Care.
JACC. Advances
Sep 9, 2023
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The Importance of External Validation for Neural Network Models.
JACC. Advances
Sep 9, 2023
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DOI
Echocardiography in the Era of Artificial Intelligence.
JACC. Advances
Aug 25, 2023
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Role of Artificial Intelligence in Cardiovascular Health Disparities: The Risk of Greasing the Slippery Slope.
JACC. Advances
Aug 24, 2023
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A Glimpse Into the Black Box: Using Machine Learning to Prioritize Predictors of Vascular Disease.
JACC. Advances
Aug 23, 2023
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Harnessing Artificial Intelligence for Intravascular Imaging: Is it Percutaneous Coronary Intervention Ready?
JACC. Advances
Aug 22, 2023
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Machine Learning for Risk Prediction: Does One Size Really Fit All?
JACC. Advances
Aug 22, 2023
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Accuracy of IVUS-Based Machine Learning Segmentation Assessment of Coronary Artery Dimensions and Balloon Sizing.
JACC. Advances
Aug 22, 2023
BACKGROUND: Accurate intravascular ultrasound (IVUS) measurements are important in IVUS-guided percutaneous coronary intervention optimization by choosing the appropriate device size and confirming stent expansion.
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Mortality Prediction in Patients With or Without Heart Failure Using a Machine Learning Model.
JACC. Advances
Aug 22, 2023
BACKGROUND: Most risk prediction models are confined to specific medical conditions, thus limiting their application to general medical populations.
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DOI
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