| Freedom from recurrent ventricular tachycardia after catheter ablation is associated with improved survival in patients with structural heart disease: an International VT … R Tung, M Vaseghi, DS Frankel, P Vergara, L Di Biase, K Nagashima, ... Heart rhythm 12 (9), 1997-2007, 2015 | 469 | 2015 |
| Incidence and predictors of right ventricular pacing-induced cardiomyopathy S Khurshid, AE Epstein, RJ Verdino, D Lin, LR Goldberg, FE Marchlinski, ... Heart rhythm 11 (9), 1619-1625, 2014 | 379 | 2014 |
| Frequency of cardiac rhythm abnormalities in a half million adults S Khurshid, SH Choi, LC Weng, EY Wang, L Trinquart, EJ Benjamin, ... Circulation: Arrhythmia and Electrophysiology 11 (7), e006273, 2018 | 236 | 2018 |
| ECG-based deep learning and clinical risk factors to predict atrial fibrillation S Khurshid, S Friedman, C Reeder, P Di Achille, N Diamant, P Singh, ... Circulation 145 (2), 122-133, 2022 | 153 | 2022 |
| Deep learning enables genetic analysis of the human thoracic aorta JP Pirruccello, MD Chaffin, EL Chou, SJ Fleming, H Lin, M Nekoui, ... Nature genetics 54 (1), 40-51, 2022 | 126 | 2022 |
| Reversal of pacing-induced cardiomyopathy following cardiac resynchronization therapy S Khurshid, E Obeng-Gyimah, GE Supple, R Schaller, D Lin, AT Owens, ... JACC: Clinical Electrophysiology 4 (2), 168-177, 2018 | 104 | 2018 |
| Longer paced QRS duration is associated with increased prevalence of right ventricular pacing‐induced cardiomyopathy S Khurshid, JJ Liang, A Owens, D Lin, R Schaller, AE Epstein, ... Journal of Cardiovascular Electrophysiology 27 (10), 1174-1179, 2016 | 91 | 2016 |
| Population-based screening for atrial fibrillation S Khurshid, JS Healey, WF McIntyre, SA Lubitz Circulation research 127 (1), 143-154, 2020 | 81 | 2020 |
| Screening for atrial fibrillation in older adults at primary care visits: VITAL-AF randomized controlled trial SA Lubitz, SJ Atlas, JM Ashburner, ATT Lipsanopoulos, LH Borowsky, ... Circulation 145 (13), 946-954, 2022 | 72 | 2022 |
| Development and validation of a prediction model for atrial fibrillation using electronic health records OL Hulme, S Khurshid, LC Weng, CD Anderson, EY Wang, JM Ashburner, ... JACC: Clinical Electrophysiology 5 (11), 1331-1341, 2019 | 72 | 2019 |
| Accelerometer-derived physical activity and risk of atrial fibrillation S Khurshid, LC Weng, MA Al-Alusi, JL Halford, JS Haimovich, ... European heart journal 42 (25), 2472-2483, 2021 | 56 | 2021 |
| Genetic analysis of right heart structure and function in 40,000 people JP Pirruccello, P Di Achille, V Nauffal, M Nekoui, SF Friedman, ... Nature genetics 54 (6), 792-803, 2022 | 53 | 2022 |
| Accelerometer-derived “weekend warrior” physical activity and incident cardiovascular disease S Khurshid, MA Al-Alusi, TW Churchill, JS Guseh, PT Ellinor Jama 330 (3), 247-252, 2023 | 52 | 2023 |
| Initial precipitants and recurrence of atrial fibrillation EY Wang, OL Hulme, S Khurshid, LC Weng, SH Choi, AJ Walkey, ... Circulation: Arrhythmia and Electrophysiology 13 (3), e007716, 2020 | 52 | 2020 |
| Predictors of oral anticoagulant non-prescription in patients with atrial fibrillation and elevated stroke risk SA Lubitz, S Khurshid, LC Weng, G Doros, JW Keach, Q Gao, AK Gehi, ... American heart journal 200, 24-31, 2018 | 51 | 2018 |
| Cohort design and natural language processing to reduce bias in electronic health records research S Khurshid, C Reeder, LX Harrington, P Singh, G Sarma, SF Friedman, ... Npj Digital Medicine 5 (1), 47, 2022 | 50 | 2022 |
| A simple and portable algorithm for identifying atrial fibrillation in the electronic medical record S Khurshid, J Keaney, PT Ellinor, SA Lubitz The American journal of cardiology 117 (2), 221-225, 2016 | 44 | 2016 |
| Reperfusion of specific cortical areas is associated with improvement in distinct forms of hemispatial neglect S Khurshid, LA Trupe, M Newhart, C Davis, JJ Molitoris, J Medina, ... Cortex 48 (5), 530-539, 2012 | 42 | 2012 |
| Performance of atrial fibrillation risk prediction models in over 4 million individuals S Khurshid, U Kartoun, JM Ashburner, L Trinquart, A Philippakis, ... Circulation: Arrhythmia and Electrophysiology 14 (1), e008997, 2021 | 39 | 2021 |
| Deep learning to predict cardiac magnetic resonance–derived left ventricular mass and hypertrophy from 12-lead ECGs S Khurshid, S Friedman, JP Pirruccello, P Di Achille, N Diamant, ... Circulation: Cardiovascular Imaging 14 (6), e012281, 2021 | 36 | 2021 |
