Population-Based Screening for Atrial Fibrillation von Khurshid, Shaan, Healey, Jeffrey S., McIntyre, William F., Lubitz, Steven A.

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Incidence and predictors of right ventricular pacing-induced cardiomyopathy von Khurshid, Shaan, MD, Epstein, Andrew E., MD, FHRS, Verdino, Ralph J., MD, Lin, David, MD, FHRS, Goldberg, Lee R., MD, Marchlinski, Francis E., MD, FHRS, Frankel, David S., MD, FHRS

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ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation von Khurshid, Shaan, Friedman, Samuel, Reeder, Christopher, Di Achille, Paolo, Diamant, Nathaniel, Singh, Pulkit, Harrington, Lia X., Wang, Xin, Al-Alusi, Mostafa A., Sarma, Gopal, Foulkes, Andrea S., Ellinor, Patrick T., Anderson, Christopher D., Ho, Jennifer E., Philippakis, Anthony A., Batra, Puneet, Lubitz, Steven A.

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Frequency of Cardiac Rhythm Abnormalities in a Half Million Adults von Khurshid, Shaan, Choi, Seung Hoan, Weng, Lu-Chen, Wang, Elizabeth Y, Trinquart, Ludovic, Benjamin, Emelia J, Ellinor, Patrick T, Lubitz, Steven A

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Freedom from recurrent ventricular tachycardia after catheter ablation is associated with improved survival in patients with structural heart disease: An International VT Ablation... von Tung, Roderick, MD, FHRS, Vaseghi, Marmar, MD, MS, FHRS, Frankel, David S., MD, FHRS, Vergara, Pasquale, MD, PhD, Di Biase, Luigi, MD, PhD, FHRS, Nagashima, Koichi, MD, PhD, Yu, Ricky, MD, Vangala, Sitaram, MS, Tseng, Chi-Hong, PhD, Choi, Eue-Keun, MD, PhD, Khurshid, Shaan, MD, Patel, Mehul, MD, Mathuria, Nilesh, MD, Nakahara, Shiro, MD, PhD, Tzou, Wendy S., MD, FHRS, Sauer, William H., MD, FHRS, Vakil, Kairav, MD, Tedrow, Usha, MS, MD, FHRS, Burkhardt, J. David, MD, FACC, FHRS, Tholakanahalli, Venkatakrishna N., MD, FHRS, Saliaris, Anastasios, MD, Dickfeld, Timm, MD, PhD, FHRS, Weiss, J. Peter, MD, Bunch, T. Jared, MD, Reddy, Madhu, MD, FHRS, Kanmanthareddy, Arun, Callans, David J., MD, FHRS, Lakkireddy, Dhanunjaya, MD, FHRS, Natale, Andrea, MD, FHRS, Marchlinski, Francis, MD, FHRS, Stevenson, William G., MD, FHRS, Della Bella, Paolo, MD, Shivkumar, Kalyanam, MD, PhD, FHRS

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Cross-modal autoencoder framework learns holistic representations of cardiovascular state von Radhakrishnan, Adityanarayanan, Friedman, Sam F., Khurshid, Shaan, Ng, Kenney, Batra, Puneet, Lubitz, Steven A., Philippakis, Anthony A., Uhler, Caroline

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Performance of Atrial Fibrillation Risk Prediction Models in Over 4 Million Individuals von Khurshid, Shaan, Kartoun, Uri, Ashburner, Jeffrey M., Trinquart, Ludovic, Philippakis, Anthony, Khera, Amit V., Ellinor, Patrick T., Ng, Kenney, Lubitz, Steven A.

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MSGene: a multistate model using genetic risk and the electronic health record applied to lifetime risk of coronary artery disease von Urbut, Sarah M., Yeung, Ming Wai, Khurshid, Shaan, Cho, So Mi Jemma, Schuermans, Art, German, Jakob, Taraszka, Kodi, Paruchuri, Kaavya, Fahed, Akl C., Ellinor, Patrick T., Trinquart, Ludovic, Parmigiani, Giovanni, Gusev, Alexander, Natarajan, Pradeep

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Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass von Khurshid, Shaan, Lazarte, Julieta, Pirruccello, James P., Weng, Lu-Chen, Choi, Seung Hoan, Hall, Amelia W., Wang, Xin, Friedman, Samuel F., Nauffal, Victor, Biddinger, Kiran J., Aragam, Krishna G., Batra, Puneet, Ho, Jennifer E., Philippakis, Anthony A., Ellinor, Patrick T., Lubitz, Steven A.

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Clinical perspectives on the adoption of the artificial intelligence-enabled electrocardiogram von Khurshid, Shaan

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Cohort design and natural language processing to reduce bias in electronic health records research von Khurshid, Shaan, Reeder, Christopher, Harrington, Lia X., Singh, Pulkit, Sarma, Gopal, Friedman, Samuel F., Di Achille, Paolo, Diamant, Nathaniel, Cunningham, Jonathan W., Turner, Ashby C., Lau, Emily S., Haimovich, Julian S., Al-Alusi, Mostafa A., Wang, Xin, Klarqvist, Marcus D. R., Ashburner, Jeffrey M., Diedrich, Christian, Ghadessi, Mercedeh, Mielke, Johanna, Eilken, Hanna M., McElhinney, Alice, Derix, Andrea, Atlas, Steven J., Ellinor, Patrick T., Philippakis, Anthony A., Anderson, Christopher D., Ho, Jennifer E., Batra, Puneet, Lubitz, Steven A.

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Deep Learning to Predict Cardiac Magnetic Resonance–Derived Left Ventricular Mass and Hypertrophy From 12-Lead ECGs von Khurshid, Shaan, Friedman, Samuel, Pirruccello, James P., Di Achille, Paolo, Diamant, Nathaniel, Anderson, Christopher D., Ellinor, Patrick T., Batra, Puneet, Ho, Jennifer E., Philippakis, Anthony A., Lubitz, Steven A.

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A Simple and Portable Algorithm for Identifying Atrial Fibrillation in the Electronic Medical Record von Khurshid, Shaan, MD, Keaney, John, MD, Ellinor, Patrick T., MD, PhD, Lubitz, Steven A., MD, MPH

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Prediction performance and fairness heterogeneity in cardiovascular risk models von Kartoun, Uri, Khurshid, Shaan, Kwon, Bum Chul, Patel, Aniruddh P., Batra, Puneet, Philippakis, Anthony, Khera, Amit V., Ellinor, Patrick T., Lubitz, Steven A., Ng, Kenney

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Clinical perspectives on the adoption of the artificial intelligence-enabled electrocardiogram von Khurshid, Shaan

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Deep learning of left atrial structure and function provides link to atrial fibrillation risk von Pirruccello, James P., Di Achille, Paolo, Choi, Seung Hoan, Rämö, Joel T., Khurshid, Shaan, Nekoui, Mahan, Jurgens, Sean J., Nauffal, Victor, Kany, Shinwan, Ng, Kenney, Friedman, Samuel F., Batra, Puneet, Lunetta, Kathryn L., Palotie, Aarno, Philippakis, Anthony A., Ho, Jennifer E., Lubitz, Steven A., Ellinor, Patrick T.

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How often is occult atrial fibrillation in cryptogenic stroke causal vs. incidental? A meta-analysis von Chaisinanunkul, Napasri, Khurshid, Shaan, Buck, Brian H, Rabinstein, Alejandro A, Anderson, Christopher D, Hill, Michael D, Fugate, Jennifer E, Saver, Jeffrey L

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Comparative Effectiveness of Implantable Defibrillators for Asymptomatic Brugada Syndrome: A Decision-Analytic Model von Khurshid, Shaan, Chen, Wanyi, Bode, Weeranun D., Wasfy, Jason H., Chhatwal, Jagpreet, Lubitz, Steven A.

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Corrigendum: How often is occult atrial fibrillation in cryptogenic stroke causal vs. incidental? A meta-analysis von Chaisinanunkul, Napasri, Khurshid, Shaan, Buck, Brian H, Rabinstein, Alejandro A, Anderson, Christopher D, Hill, Michael D, Fugate, Jennifer E, Saver, Jeffrey L

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Wearable accelerometer-derived physical activity and incident disease von Khurshid, Shaan, Weng, Lu-Chen, Nauffal, Victor, Pirruccello, James P., Venn, Rachael A., Al-Alusi, Mostafa A., Benjamin, Emelia J., Ellinor, Patrick T., Lubitz, Steven A.

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