Deep neural networks learn by using human-selected electrocardiogram features and novel features

por Attia, Zachi I, Lerman, Gilad, Friedman, Paul A
Publicado 2021

Pragmatic considerations for fostering reproducible research in artificial intelligence

por Carter, Rickey E., Attia, Zachi I., Lopez-Jimenez, Francisco, Friedman, Paul A.
Publicado 2019

Artificial intelligence-enhanced electrocardiography in cardiovascular disease management

por Siontis, Konstantinos C., Noseworthy, Peter A., Attia, Zachi I., Friedman, Paul A.
Publicado 2021

Diagnosis and treatment of new heart failure with reduced ejection fraction by the artificial intelligence–enhanced electrocardiogram

por Harmon, David M., Witt, Daniel R., Friedman, Paul A., Attia, Zachi I.
Publicado 2021

Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19: A Case Series

por Attia, Zachi I., Kapa, Suraj, Noseworthy, Peter A., Lopez-Jimenez, Francisco, Friedman, Paul A.
Publicado 2020

A comprehensive artificial intelligence–enabled electrocardiogram interpretation program

por Kashou, Anthony H., Ko, Wei-Yin, Attia, Zachi I., Cohen, Michal S., Friedman, Paul A., Noseworthy, Peter A.
Publicado 2020

Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) analysis of the surface electrocardiogram: A proof of concept study

por Attia, Zachi I., Sugrue, Alan, Asirvatham, Samuel J., Ackerman, Michael J., Kapa, Suraj, Friedman, Paul A., Noseworthy, Peter A.
Publicado 2018

An artificial intelligence–enabled ECG algorithm for comprehensive ECG interpretation: Can it pass the ‘Turing test’?

por Kashou, Anthony H., Mulpuru, Siva K., Deshmukh, Abhishek J., Ko, Wei-Yin, Attia, Zachi I., Carter, Rickey E., Friedman, Paul A., Noseworthy, Peter A.
Publicado 2021

Artificial intelligence—electrocardiography to detect atrial fibrillation: trend of probability before and after the first episode

por Christopoulos, Georgios, Attia, Zachi I, Van Houten, Holly K, Yao, Xiaoxi, Carter, Rickey E, Lopez-Jimenez, Francisco, Kapa, Suraj, Noseworthy, Peter A, Friedman, Paul A
Publicado 2022

Deep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypes

por Libiseller-Egger, Julian, Phelan, Jody E., Attia, Zachi I., Benavente, Ernest Diez, Campino, Susana, Friedman, Paul A., Lopez-Jimenez, Francisco, Leon, David A., Clark, Taane G.
Publicado 2022

Correlation between artificial intelligence-enabled electrocardiogram and echocardiographic features in aortic stenosis

por Ito, Saki, Cohen-Shelly, Michal, Attia, Zachi I, Lee, Eunjung, Friedman, Paul A, Nkomo, Vuyisile T, Michelena, Hector I, Noseworthy, Peter A, Lopez-Jimenez, Francisco, Oh, Jae K
Publicado 2023

Clinical trial design data for electrocardiogram artificial intelligence-guided screening for low ejection fraction (EAGLE)

por Yao, Xiaoxi, McCoy, Rozalina G., Friedman, Paul A., Shah, Nilay D., Barry, Barbara A., Behnken, Emma M., Inselman, Jonathan W., Attia, Zachi I., Noseworthy, Peter A.
Publicado 2019

Digital health innovation in cardiology

por Ladejobi, Adetola O., Cruz, Jessica, Attia, Zachi I., van Zyl, Martin, Tri, Jason, Lopez-Jimenez, Francisco, Noseworthy, Peter A., Friedman, Paul A., Kapa, Suraj, Asirvatham, Samuel J.
Publicado 2020

Vascular Aging Detected by Peripheral Endothelial Dysfunction Is Associated With ECG‐Derived Physiological Aging

por Toya, Takumi, Ahmad, Ali, Attia, Zachi, Cohen‐Shelly, Michal, Ozcan, Ilke, Noseworthy, Peter A, Lopez‐Jimenez, Francisco, Kapa, Suraj, Lerman, Lilach O, Friedman, Paul A, Lerman, Amir
Publicado 2021

AI ENHANCED ECG ENABLED RAPID NON-INVASIVE EXCLUSION OF SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS 2 (SARS-COV-2) INFECTION

por Attia, Zachi Itzhak, Kapa, Suraj, Dugan, Jennifer, Pereira, Naveen, Noseworthy, Peter, Lopez-Jimenez, Francisco, Carter, Rickey, Cruz, Jessica, DeSimone, Daniel, Signorino, John, Halamka, John, Friedman, Paul
Publicado 2021

Electrocardiogram-Artificial Intelligence and Immune-Mediated Necrotizing Myopathy: Predicting Left Ventricular Dysfunction and Clinical Outcomes

por Klein, Christopher J., Ozcan, Ilke, Attia, Zachi I., Cohen-Shelly, Michal, Lerman, Amir, Medina-Inojosa, Jose R., Lopez-Jimenez, Francisco, Friedman, Paul A., Milone, Margherita, Shelly, Shahar
Publicado 2022

Tandem deep learning and logistic regression models to optimize hypertrophic cardiomyopathy detection in routine clinical practice

por Maanja, Maren, Noseworthy, Peter A., Geske, Jeffrey B., Ackerman, Michael J., Arruda-Olson, Adelaide M., Ommen, Steve R., Attia, Zachi I., Friedman, Paul A., Siontis, Konstantinos C.
Publicado 2022

Real-world performance, long-term efficacy, and absence of bias in the artificial intelligence enhanced electrocardiogram to detect left ventricular systolic dysfunction

por Harmon, David M, Carter, Rickey E, Cohen-Shelly, Michal, Svatikova, Anna, Adedinsewo, Demilade A, Noseworthy, Peter A, Kapa, Suraj, Lopez-Jimenez, Francisco, Friedman, Paul A, Attia, Zachi I
Publicado 2022

Machine learning aids clinical decision-making in patients presenting with angina and non-obstructive coronary artery disease

por Ahmad, Ali, Shelly-Cohen, Michal, Corban, Michel T, Murphree Jr, Dennis H, Toya, Takumi, Sara, Jaskanwal D, Ozcan, Ilke, Lerman, Lilach O, Friedman, Paul A, Attia, Zachi I, Lerman, Amir
Publicado 2021

Automated detection of low ejection fraction from a one-lead electrocardiogram: application of an AI algorithm to an electrocardiogram-enabled Digital Stethoscope( )

por Attia, Zachi I, Dugan, Jennifer, Rideout, Adam, Maidens, John N, Venkatraman, Subramaniam, Guo, Ling, Noseworthy, Peter A, Pellikka, Patricia A, Pham, Steve L, Kapa, Suraj, Friedman, Paul A, Lopez-Jimenez, Francisco
Publicado 2022