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Zachi I Attia

Showing results (1-10 of 142) with videos related to

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European Heart Journal|December 22, 2022
Explainable AI for ECG-based prediction of cardiac resynchronization therapy outcomes: learning from machine learning?Zachi I Attia, Paul A Friedman
European Heart Journal|January 13, 2025
Artificial intelligence and mortality prediction in acute coronary syndromesZachi I Attia, Paul A Friedman
European Heart Journal. Digital Health|January 30, 2023
Deep neural networks learn by using human-selected electrocardiogram features and novel featuresZachi I Attia, Gilad Lerman, Paul A Friedman
Cardiovascular Research|February 21, 2022
Current and future implications of the artificial intelligence electrocardiogram: the transformation of healthcare and attendant research opportunitiesDavid M Harmon, Zachi I Attia, Paul A Friedman
JACC. Clinical Electrophysiology|August 23, 2023
Deep Learning for Premature Ventricular Contraction-Cardiomyopathy: Are We Digging Deep Enough?Gurukripa N Kowlgi, Zachi I Attia, Samuel J Asirvatham
NPJ Digital Medicine|July 16, 2019
Pragmatic considerations for fostering reproducible research in artificial intelligenceRickey E Carter, Zachi I Attia, Francisco Lopez-Jimenez, et al.
European Heart Journal|September 17, 2021
Application of artificial intelligence to the electrocardiogramZachi I Attia, David M Harmon, Elijah R Behr, et al.
Nature Reviews. Cardiology|February 2, 2021
Artificial intelligence-enhanced electrocardiography in cardiovascular disease managementKonstantinos C Siontis, Peter A Noseworthy, Zachi I Attia, et al.
Cardiovascular Digital Health Journal|March 10, 2022
Diagnosis and treatment of new heart failure with reduced ejection fraction by the artificial intelligence-enhanced electrocardiogramDavid M Harmon, Daniel R Witt, Paul A Friedman, et al.
European Heart Journal|December 13, 2023
ChatGPT hallucinating: can it get any more humanlike?Konstantinos C Siontis, Zachi I Attia, Samuel J Asirvatham, et al.
Pageof 15

Showing results (1-10 of 142) with videos related to

Sort By:
Pageof 15
European Heart Journal|December 22, 2022
Explainable AI for ECG-based prediction of cardiac resynchronization therapy outcomes: learning from machine learning?Zachi I Attia, Paul A Friedman
European Heart Journal|January 13, 2025
Artificial intelligence and mortality prediction in acute coronary syndromesZachi I Attia, Paul A Friedman
European Heart Journal. Digital Health|January 30, 2023
Deep neural networks learn by using human-selected electrocardiogram features and novel featuresZachi I Attia, Gilad Lerman, Paul A Friedman
Cardiovascular Research|February 21, 2022
Current and future implications of the artificial intelligence electrocardiogram: the transformation of healthcare and attendant research opportunitiesDavid M Harmon, Zachi I Attia, Paul A Friedman
JACC. Clinical Electrophysiology|August 23, 2023
Deep Learning for Premature Ventricular Contraction-Cardiomyopathy: Are We Digging Deep Enough?Gurukripa N Kowlgi, Zachi I Attia, Samuel J Asirvatham
NPJ Digital Medicine|July 16, 2019
Pragmatic considerations for fostering reproducible research in artificial intelligenceRickey E Carter, Zachi I Attia, Francisco Lopez-Jimenez, et al.
European Heart Journal|September 17, 2021
Application of artificial intelligence to the electrocardiogramZachi I Attia, David M Harmon, Elijah R Behr, et al.
Nature Reviews. Cardiology|February 2, 2021
Artificial intelligence-enhanced electrocardiography in cardiovascular disease managementKonstantinos C Siontis, Peter A Noseworthy, Zachi I Attia, et al.
Cardiovascular Digital Health Journal|March 10, 2022
Diagnosis and treatment of new heart failure with reduced ejection fraction by the artificial intelligence-enhanced electrocardiogramDavid M Harmon, Daniel R Witt, Paul A Friedman, et al.
European Heart Journal|December 13, 2023
ChatGPT hallucinating: can it get any more humanlike?Konstantinos C Siontis, Zachi I Attia, Samuel J Asirvatham, et al.
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