Moving beyond regression techniques in cardiovascular risk prediction: applying machine learning to address analytic challenges von Goldstein, Benjamin A, Navar, Ann Marie, Carter, Rickey E

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VO2max trainability and high intensity interval training in humans: a meta-analysis von Bacon, Andrew P, Carter, Rickey E, Ogle, Eric A, Joyner, Michael J

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Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram von Attia, Zachi I., Kapa, Suraj, Lopez-Jimenez, Francisco, McKie, Paul M., Ladewig, Dorothy J., Satam, Gaurav, Pellikka, Patricia A., Enriquez-Sarano, Maurice, Noseworthy, Peter A., Munger, Thomas M., Asirvatham, Samuel J., Scott, Christopher G., Carter, Rickey E., Friedman, Paul A.

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A Simple, Evidence-Based Approach to Help Guide Diagnosis of Heart Failure With Preserved Ejection Fraction von Reddy, Yogesh N.V, Carter, Rickey E, Obokata, Masaru, Redfield, Margaret M, Borlaug, Barry A

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Enhanced Protein Translation Underlies Improved Metabolic and Physical Adaptations to Different Exercise Training Modes in Young and Old Humans von Robinson, Matthew M., Dasari, Surendra, Konopka, Adam R., Johnson, Matthew L., Manjunatha, S., Esponda, Raul Ruiz, Carter, Rickey E., Lanza, Ian R., Nair, K. Sreekumaran

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An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction von Attia, Zachi I, Noseworthy, Peter A, Lopez-Jimenez, Francisco, Asirvatham, Samuel J, Deshmukh, Abhishek J, Gersh, Bernard J, Carter, Rickey E, Yao, Xiaoxi, Rabinstein, Alejandro A, Erickson, Brad J, Kapa, Suraj, Friedman, Paul A

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Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs von Attia, Zachi I, Friedman, Paul A, Noseworthy, Peter A, Lopez-Jimenez, Francisco, Ladewig, Dorothy J, Satam, Gaurav, Pellikka, Patricia A, Munger, Thomas M, Asirvatham, Samuel J, Scott, Christopher G, Carter, Rickey E, Kapa, Suraj

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Early safety indicators of COVID-19 convalescent plasma in 5000 patients von Joyner, Michael J, Wright, R. Scott, Fairweather, DeLisa, Senefeld, Jonathon W, Bruno, Katelyn A, Klassen, Stephen A, Carter, Rickey E, Klompas, Allan M, Wiggins, Chad C, Shepherd, John R.A, Rea, Robert F, Whelan, Emily R, Clayburn, Andrew J, Spiegel, Matthew R, Johnson, Patrick W, Lesser, Elizabeth R, Baker, Sarah E, Larson, Kathryn F, Ripoll, Juan G, Andersen, Kylie J, Hodge, David O, Kunze, Katie L, Buras, Matthew R, Vogt, Matthew N.P, Herasevich, Vitaly, Dennis, Joshua J, Regimbal, Riley J, Bauer, Philippe R, Blair, Janis E, Van Buskirk, Camille M, Winters, Jeffrey L, Stubbs, James R, Paneth, Nigel S, Verdun, Nicole C, Marks, Peter, Casadevall, Arturo

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Sex differences in youth elite swimming von Senefeld, Jonathon W, Clayburn, Andrew J, Baker, Sarah E, Carter, Rickey E, Johnson, Patrick W, Joyner, Michael J

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Risk of intravenous contrast material-mediated acute kidney injury: a propensity score-matched study stratified by baseline-estimated glomerular filtration rate von McDonald, Jennifer S, McDonald, Robert J, Carter, Rickey E, Katzberg, Richard W, Kallmes, David F, Williamson, Eric E

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Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram von Ko, Wei-Yin, Siontis, Konstantinos C., Attia, Zachi I., Carter, Rickey E., Kapa, Suraj, Ommen, Steve R., Demuth, Steven J., Ackerman, Michael J., Gersh, Bernard J., Arruda-Olson, Adelaide M., Geske, Jeffrey B., Asirvatham, Samuel J., Lopez-Jimenez, Francisco, Nishimura, Rick A., Friedman, Paul A., Noseworthy, Peter A.

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Electrocardiogram screening for aortic valve stenosis using artificial intelligence von Cohen-Shelly, Michal, Attia, Zachi I, Friedman, Paul A, Ito, Saki, Essayagh, Benjamin A, Ko, Wei-Yin, Murphree, Dennis H, Michelena, Hector I, Enriquez-Sarano, Maurice, Carter, Rickey E, Johnson, Patrick W, Noseworthy, Peter A, Lopez-Jimenez, Francisco, Oh, Jae K

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The Fragility Index: a P-value in sheep's clothing? von Carter, Rickey E, McKie, Paul M, Storlie, Curtis B

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Artificial Intelligence–Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device von Giudicessi, John R., Schram, Matthew, Bos, J. Martijn, Galloway, Conner D., Shreibati, Jacqueline B., Johnson, Patrick W., Carter, Rickey E., Disrud, Levi W., Kleiman, Robert, Attia, Zachi I., Noseworthy, Peter A., Friedman, Paul A., Albert, David E., Ackerman, Michael J.

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Clinical use of intracoronary imaging. Part 1: guidance and optimization of coronary interventions. An expert consensus document of the European Association of Percutaneous Cardiov... von Räber, Lorenz, Mintz, Gary S, Koskinas, Konstantinos C, Johnson, Thomas W, Holm, Niels R, Onuma, Yoshinubo, Radu, Maria D, Joner, Michael, Yu, Bo, Jia, Haibo, Meneveau, Nicolas, de la Torre Hernandez, Jose M, Escaned, Javier, Hill, Jonathan, Prati, Francesco, Colombo, Antonio, di Mario, Carlo, Regar, Evelyn, Capodanno, Davide, Wijns, William, Byrne, Robert A, Guagliumi, Giulio

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Ranking of the most effective treatments for cardiovascular disease using SUCRA: Is it as sweet as it appears? von Wang, Zhen, Carter, Rickey E

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Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction von Attia, Zachi I., Kapa, Suraj, Yao, Xiaoxi, Lopez‐Jimenez, Francisco, Mohan, Tarun L., Pellikka, Patricia A., Carter, Rickey E., Shah, Nilay D., Friedman, Paul A., Noseworthy, Peter A.

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The haemodynamic basis of lung congestion during exercise in heart failure with preserved ejection fraction von Reddy, Yogesh N V, Obokata, Masaru, Wiley, Brandon, Koepp, Katlyn E, Jorgenson, Caitlin C, Egbe, Alexander, Melenovsky, Vojtech, Carter, Rickey E, Borlaug, Barry A

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European Heart Journal quality standards von Alfonso, Fernando, Torp-Pedersen, Christian, Carter, Rickey E, Crea, Filipo

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Degradation of CT Low-Contrast Spatial Resolution Due to the Use of Iterative Reconstruction and Reduced Dose Levels von McCollough, Cynthia H, Yu, Lifeng, Kofler, James M, Leng, Shuai, Zhang, Yi, Li, Zhoubo, Carter, Rickey E

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