Search Results - "KAPA, Suraj"

Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram by 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.

“…Asymptomatic left ventricular dysfunction (ALVD) is present in 3–6% of the general population, is associated with reduced quality of life and longevity, and is…”
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Suppressing physiologic 18-fluorodeoxyglucose uptake in patients undergoing positron emission tomography for cardiac sarcoidosis: The effect of a structured patient preparation protocol by Christopoulos, Georgios, Jouni, Hayan, Acharya, Gayatri A., Blauwet, Lori A., Kapa, Suraj, Bois, John, Chareonthaitawee, Panithaya, Rodriguez-Porcel, Martin G.

“…Myocardial positron emission tomography (PET) to detect cardiac sarcoidosis requires adequate patient preparation; however, in many cases physiologic…”
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Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs by 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

“…BACKGROUND:Sex and age have long been known to affect the ECG. Several biologic variables and anatomic factors may contribute to sex and age-related…”
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Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial by Yao, Xiaoxi, Rushlow, David R., Inselman, Jonathan W., McCoy, Rozalina G., Thacher, Thomas D., Behnken, Emma M., Bernard, Matthew E., Rosas, Steven L., Akfaly, Abdulla, Misra, Artika, Molling, Paul E., Krien, Joseph S., Foss, Randy M., Barry, Barbara A., Siontis, Konstantinos C., Kapa, Suraj, Pellikka, Patricia A., Lopez-Jimenez, Francisco, Attia, Zachi I., Shah, Nilay D., Friedman, Paul A., Noseworthy, Peter A.

“…We have conducted a pragmatic clinical trial aimed to assess whether an electrocardiogram (ECG)-based, artificial intelligence (AI)-powered clinical decision…”
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Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram by 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.

“…Hypertrophic cardiomyopathy (HCM) is an uncommon but important cause of sudden cardiac death. This study sought to develop an artificial intelligence approach…”
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ACCF/HRS/AHA/ASE/HFSA/SCAI/SCCT/SCMR 2013 Appropriate Use Criteria for Implantable Cardioverter-Defibrillators and Cardiac Resynchronization Therapy by Russo, Andrea M., MD, FACC, FHRS, Stainback, Raymond F., MD, FACC, FASE, Bailey, Steven R., MD, FACC, FSCAI, FAHA, Epstein, Andrew E., MD, FACC, FAHA, FHRS, Heidenreich, Paul A., MD, FACC, Jessup, Mariell, MD, FACC, FAHA, Kapa, Suraj, MD, Kremers, Mark S., MD, FACC, FHRS, Lindsay, Bruce D., MD, FACC, FHRS, Stevenson, Lynne Warner, MD, FACC

“…A Report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, Heart Rhythm Society, American Heart Association, American…”
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Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction by 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.

“…Objectives We sought to validate a deep learning algorithm designed to predict an ejection fraction (EF) less than or equal to 35% based on the 12‐lead…”
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Contact Electroanatomic Mapping Derived Voltage Criteria for Characterizing Left Atrial Scar in Patients Undergoing Ablation for Atrial Fibrillation by KAPA, SURAJ, DESJARDINS, BENOIT, CALLANS, DAVID J., MARCHLINSKI, FRANCIS E., DIXIT, SANJAY

“…Voltage Criteria for Left Atrial Scar Background Criteria have not been established for identifying LA scar using electroanatomic mapping (EAM). It is also…”
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Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology by Feeny, Albert K., Chung, Mina K., Madabhushi, Anant, Attia, Zachi I., Cikes, Maja, Firouznia, Marjan, Friedman, Paul A., Kalscheur, Matthew M., Kapa, Suraj, Narayan, Sanjiv M., Noseworthy, Peter A., Passman, Rod S., Perez, Marco V., Peters, Nicholas S., Piccini, Jonathan P., Tarakji, Khaldoun G., Thomas, Suma A., Trayanova, Natalia A., Turakhia, Mintu P., Wang, Paul J.

“…Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of intense exploration, showing potential to automate human tasks and…”
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Novel Measure of Local Impedance Predicts Catheter–Tissue Contact and Lesion Formation by Sulkin, Matthew S, Laughner, Jacob I, Hilbert, Sebastian, Kapa, Suraj, Kosiuk, Jedrzej, Younan, Paul, Romero, Iñaki, Shuros, Allan, Hamann, Jason J, Hindricks, Gerhard, Bollmann, Andreas

“…BACKGROUND:Coupling between the ablation catheter and myocardium is critical to resistively heat tissue with radiofrequency ablation. The objective of this…”
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Combined local impedance and contact force for radiofrequency ablation assessment by Garrott, Kara, Laughner, Jacob, Gutbrod, Sarah, Sugrue, Alan, Shuros, Allan, Sulkin, Matt, Yasin, Omar, Bush, Jamie, Pottinger, Nathan, Meyers, Jason, Kapa, Suraj

“…The combination of contact force (CF) and local impedance (LI) may improve tissue characterization and lesion prediction during radiofrequency (RF) ablation…”
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Association of Serum Magnesium on Mortality in Patients Admitted to the Intensive Cardiac Care Unit by Naksuk, Niyada, MD, Hu, Tiffany, Krittanawong, Chayakrit, MD, Thongprayoon, Charat, MD, Sharma, Sunita, MD, PhD, Park, Jae Yoon, MD, Rosenbaum, Andrew N., MD, Gaba, Prakriti, Killu, Ammar M., MBBS, Sugrue, Alan M., MB, BCh, BAO, Peeraphatdit, Thoetchai, MD, Herasevich, Vitaly, MD, PhD, Bell, Malcolm R., MD, Brady, Peter A., MB, ChB, MD, Kapa, Suraj, MD, Asirvatham, Samuel J., MD

“…Abstract Background Although electrolyte disturbances may affect cardiac action potential, little is known about the association between serum magnesium and…”
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Identification of a novel presumed cardiac sarcoidosis category for patients at high risk of disease by Rosenbaum, Andrew N., Kolluri, Nikhil, Elwazir, Mohamed Y., Kapa, Suraj, Abou Ezzeddine, Omar F., Bois, John P., Chareonthaitawee, Panithaya, Schmidt, Tyler J., Cooper, Leslie T.

“…Histologic evidence is required for a definitive diagnosis of cardiac sarcoidosis (CS) by published guidelines; however, the sporadic nature of the disease may…”
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Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) analysis of the surface electrocardiogram: A proof of concept study by Attia, Zachi I, Sugrue, Alan, Asirvatham, Samuel J, Ackerman, Michael J, Kapa, Suraj, Friedman, Paul A, Noseworthy, Peter A

“…Dofetilide is an effective antiarrhythmic medication for rhythm control in atrial fibrillation, but carries a significant risk of pro-arrhythmia and requires…”
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Feasibility of selective cardiac ventricular electroporation by Sugrue, Alan, Vaidya, Vaibhav R, Livia, Christopher, Padmanabhan, Deepak, Abudan, Anas, Isath, Ameesh, Witt, Tyra, DeSimone, Christopher V, Stalboerger, Paul, Kapa, Suraj, Asirvatham, Samuel J, McLeod, Christopher J

“…The application of brief high voltage electrical pulses to tissue can lead to an irreversible or reversible electroporation effect in a cell-specific manner…”
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Long-Term Survival of Patients With Left Ventricular Noncompaction by Vaidya, Vaibhav R, Lyle, Melissa, Miranda, William R, Farwati, Medhat, Isath, Ameesh, Patlolla, Sri Harsha, Hodge, David O, Asirvatham, Samuel J, Kapa, Suraj, Deshmukh, Abhishek J, Foley, Thomas A, Michelena, Hector I, Connolly, Heidi M, Melduni, Rowlens M

“…Background The prognosis of left ventricular noncompaction (LVNC) remains elusive despite its recognition as a clinical entity for >30 years. We sought to…”
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Mortality in Patients With Right Bundle-Branch Block in the Absence of Cardiovascular Disease by Gaba, Prakriti, Pedrotty, Dawn, DeSimone, Christopher V, Bonikowske, Amanda R, Allison, Thomas G, Kapa, Suraj

“…Background Right bundle-branch block (RBBB) occurs in 0.2% to 1.3% of people and is considered a benign finding. However, some studies have suggested increased…”
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A MET a Day Keeps Arrhythmia at Bay: The Association Between Exercise or Cardiorespiratory Fitness and Atrial Fibrillation by Kapa, Suraj, MD, Asirvatham, Samuel J., MD

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“Power-on resets” in cardiac implantable electronic devices during magnetic resonance imaging by Higgins, John V., MD, Sheldon, Seth H., MD, Watson, Robert E., MD, PhD, Dalzell, Connie, RN, Acker, Nancy, RN, Cha, Yong-Mei, MD, FHRS, Asirvatham, Samuel J., MD, FHRS, Kapa, Suraj, MD, FHRS, Felmlee, Joel P., PhD, Friedman, Paul A., MD, FHRS

“…Background Magnetic resonance imaging (MRI) has been safely performed in some patients with cardiac implantable electronic devices (CIEDs) under careful…”
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Elimination of Purkinje Fibers by Electroporation Reduces Ventricular Fibrillation Vulnerability by Livia, Christopher, Sugrue, Alan, Witt, Tyra, Polkinghorne, Murray D, Maor, Elad, Kapa, Suraj, Lehmann, Helge I, DeSimone, Christopher V, Behfar, Atta, Asirvatham, Samuel J, McLeod, Christopher J

“…Background The Purkinje network appears to play a pivotal role in the triggering as well as maintenance of ventricular fibrillation. Irreversible…”
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