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Development and multicenter validation of an artificial intelligence ECG model for ventricular remodeling in repaired tetralogy of Fallot Son Q Duong, MD MS; Akhil Vaid, MD; Pengfei Jiang, MS; Yuval Bitterman, MD; Yamini Krishnamurthy, MD; I-Min Chiu, MD, PhD; Joshua Finer, MS; Brian Cleary, MD; Benjamin S Glicksberg, PhD; Ruchira Garg, MD; Michael DiLorenzo, MD MSCE; Mark Friedberg, MD, PhD; Evan Zahn, MD; Matthew Lewis, MD; Michael Satzer, MD; David Ouyang, MD; Pierre Elias, MD; Tal Geva, MD; Sunil Ghelani, MD; Brett Anderson, MD MS; Ali Zaidi, MD; Rachel M Wald, MD; Girish N Nadkarni, MD, MPH; Joshua Mayourian, MD, PhD; null Share Save
Foundation models for electrocardiogram interpretation: clinical implications Nolin-Lapalme, Alexis; Sowa, Achille; Delfrate, Jacques; Tastet, Olivier; Corbin, Denis; Kulbay, Merve; Ozdemir, Derman; Noel, Marie-Jeanne; Marois-Blanchet, Francois-Christophe; Harvey, Francois; Sharma, Surbhi; Ansari, Minhaj; Chiu, I. Min; D'souza, Valentina; Friedman, Sam F.; Chasse, Michael; Potter, Brian J.; Afilalo, Jonathan; Elias, Pierre Adil; Jabbour, Gilbert; Bahani, Mourad; Dube, Marie-Pierre; Boyle, Patrick M.; Chatterjee, Neal A.; Barrios, Joshua; Tison, Geoffrey H.; Ouyang, David; Maddah, Mahnaz; Khurshid, Shaan; Cadrin-Tourigny, Julia; Tadros, Rafik; Hussin, Julie; Avram, Robert Share Save
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Deep learning for echocardiographic assessment and risk stratification of aortic, mitral, and tricuspid regurgitation: the DELINEATE-regurgitation study Long, Aaron; Finer, Joshua; Hartman, Heidi; Hartzel, Dustin; Jing, Linyuan; Kelsey, Christopher; Rocha, Daniel; Ruhl, Jeffrey; Vanmaanen, David; Elnabawi, Youssef; Metser, Gil; Duffy, Eamon; Mawson, Thomas; Tat, Emily; Haggerty, Christopher M.; Maurer, Mathew; Einstein, Andrew J.; Beecy, Ashley N.; Kumaraiah, Deepa; Devereux, Richard B.; Homma, Shunichi; Leon, Martin; Hahn, Rebecca T.; Elias, Pierre; Poterucha, Timothy J. Share Save
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Optimal Approach to Generate Patient -Level Decision from Study-Level Predictions Using a Multimodal Deep Learning Model for Detecting Transthyretin Cardiac Amyloidosis Finer, Joshua; Haggerty, Chris; Jing, Linyuan; Jain, Sneha; Einstein, Andrew; Maurer, Matthew; Raghunath, Sushravya; Rocha, Daniel; Elias, Pierre; Poterucha, Timothy Share Save
DELINEATE-Regurgitation: deep learning for automated assessment of aortic, mitral, and tricuspid regurgitation from echocardiography Long, A.; Haggerty, C. M.; Hartzel, D.; Jing, L.; Kelsey, C.; Rocha, D.; Metser, G.; Duffy, E.; Mawson, T.; Beecy, A.; Homma, S.; Leon, M.; Hahn, R.; Elias, P.; Poterucha, T. Share Save
Simple models vs. deep learning in detecting low ejection fraction from the electrocardiogram Hughes, John Weston; Somani, Sulaiman; Elias, Pierre; Tooley, James; Rogers, Albert J.; Poterucha, Timothy; Haggerty, Christopher M.; Salerno, Michael; Ouyang, David; Ashley, Euan; Zou, James; Perez, Marco, V Share Save
Deep learning to detect left ventricular structural abnormalities in chest X-rays Bhave, Shreyas; Rodriguez, Victor; Poterucha, Timothy; Mutasa, Simukayi; Aberle, Dwight; Capaccione, Kathleen M.; Chen, Yibo; Dsouza, Belinda; Dumeer, Shifali; Goldstein, Jonathan; Hodes, Aaron; Leb, Jay; Lungren, Matthew; Miller, Mitchell; Monoky, David; Navot, Benjamin; Wattamwar, Kapil; Wattamwar, Anoop; Clerkin, Kevin; Ouyang, David; Ashley, Euan; Topkara, Veli K.; Maurer, Mathew; Einstein, Andrew J.; Uriel, Nir; Homma, Shunichi; Schwartz, Allan; Jaramillo, Diego; Perotte, Adler J.; Elias, Pierre Share Save
Impact of cardiac size on diagnostic performance of single-photon emission computed tomography myocardial perfusion imaging: insights from the REgistry of Fast Myocardial Perfusion Imaging with NExt generation single-photon emission computed tomography Randazzo, Michael; Elias, Pierre; Poterucha, Timothy; Sharir, Tali; Fish, Matthews; Ruddy, Terrence; Kaufmann, Philipp; Sinusas, Albert; Miller, Edward; Bateman, Timothy; Dorbala, Sharmila; Di Carli, Marcelo; Castillo, Michelle; Liang, Joanna; Miller, Robert; Dey, Damini; Berman, Daniel; Slomka, Piotr; Einstein, Andrew Share Save
Electrocardiographic deep learning for predicting post- procedural mortality: a model development and validation study Ouyang, David; Theurer, John; Stein, Nathan R.; Hughes, J. Weston; Elias, Pierre; He, Bryan; Yuan, Neal; Duffy, Grant; Sandhu, Roopinder K.; Ebinger, Joseph; Botting, Patrick; Jujjavarapu, Melvin; Claggett, Brian; Tooley, James E.; Poterucha, Tim; Chen, Jonathan H.; Nurok, Michael; Perez, Marco; Perotte, Adler; Zou, James Y.; Cook, Nancy R.; Chugh, Sumeet S.; Cheng, Susan; Albert, Christine M. Share Save
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Left Ventricular Alterations in Neonatal Encephalopathy - A Case-Control Study Using 3D Echocardiography Elias, Pierre; Sahussarungsi, Sariya; Thibert, Ouma; Lopes-Letendre, Gabriela Simoes; Wutthigate, Punnanee; Ohayon, Amanda; Moore, Shiran S.; Martinez, Daniela Villegas; Simoneau, Jessica; Henin, Catherine; Mawad, Wadi; Cavalle, Tiscar; Wintermark, Pia; Lapointe, Anie; Altit, Gabriel Share Save
EchoNext: An ECGBased Deep Learning Model to Detect Structural Heart Disease Jing, Linyuan; Finer, Joshua; Hartzel, Dustin; Kelsey, Christopher; Rocha, Daniel; Ruhl, Jeffrey; Volodarskiy, Alexander; Beecy, Ashley; Haggerty, Christopher M.; Poterucha, Timothy J.; Elias, Pierre Share Save
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