3 At Risk Alcohol Use Predicts Risk of Repeat Emergency Department Visit for Trauma von Baugher, A, Haley, L, Adedinsewo, D, Kelley, M, Hankin, A

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Multi-category classification of left ventricle ejection fraction using a convolutional neural network von Carter, R, Hardway, H, Johnson, P, Douglass, E, Adedinsewo, D

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Relationship between cardiovascular symptoms, health status assessment and cardiomyopathy in the obstetric population von Adedinsewo, D, Morales-Lara, C A, Douglass, E, O'Sullivan, S, Young, K, Burnette, D, Spertus, J, Butler-Tobah, Y, Rose, C, Carter, R, Noseworthy, P, Phillips, S

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Artificial intelligence-based risk stratification of atrial fibrillation among women with peripartum cardiomyopathy compared to other cardiomyopathies von Morales-Lara, A C, Johnson, P W, Douglass, E J, O'Sullivan, S, Yamani, M H, Noseworthy, P A, Carter, R E, Adedinsewo, D A

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Multi-category classification of left ventricle ejection fraction using a convolutional neural network von Carter, R, Hardway, H, Johnson, P, Douglass, E, Adedinsewo, D

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Screening for cardiac allograft rejection among heart transplant recipients using an electrocardiogram-based deep learning model von Adedinsewo, D, Hardway, H, Morales-Lara, C A, Johnson, P, Douglass, E, Dangott, B, Nakhleh, R, Narula, T, Patel, P, Goswami, R, Heckman, A, Lopez-Jimenez, F, Noseworthy, P, Yamani, M, Carter, R

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Implementing artificial intelligence-based cardio-obstetric screening in a diverse patient population: a prospective study von Adedinsewo, D, Morales-Lara, A C, Hardway, H, Johnson, P W, Young, K A, Douglass, E J, Butler Tobah, Y S, Rose, C H, Burnette, D P, Attia, Z I, Lopez-Jimenez, F, Friedman, P A, Carter, R E, Noseworthy, P A

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Detecting cardiomyopathies in pregnancy and the postpartum period using ECG von Adedinsewo, D, Johnson, P W, Douglass, E J, Attia, Z I, Phillips, S D, Goswami, R M, Yamani, M H, Connolly, H M, Rose, C H, Sharpe, E E, Lopez-Jimenez, F, Friedman, P A, Carter, R E, Noseworthy, P A

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Detecting cardiomyopathies in pregnancy and the postpartum period using ECG von Adedinsewo, D, Johnson, P W, Douglass, E J, Attia, Z I, Phillips, S D, Goswami, R M, Yamani, M H, Connolly, H M, Rose, C H, Sharpe, E E, Lopez-Jimenez, F, Friedman, P A, Carter, R E, Noseworthy, P A

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RApid Throughput Screening for Asymptomatic COVID-19 Infection With an Electrocardiogram: A Prospective Observational Study von Adedinsewo, Demilade, Dugan, Jennifer, Johnson, Patrick W., Douglass, Erika J., Morales-Lara, Andrea Carolina, Parkulo, Mark A., Ting, Henry H., Cooper, Leslie T., Scott, Luis R., Valverde, Arturo M., Padmanabhan, Deepak, Peters, Nicholas S., Bachtiger, Patrik, Kelshiker, Mihir, Fernandez-Aviles, Francisco, Atienza, Felipe, Glotzer, Taya V., Lahiri, Marc K., Dominic, Paari, Attia, Zachi I., Kapa, Suraj, Noseworthy, Peter A., Pereira, Naveen L., Cruz, Jessica, Berbari, Elie F., Carter, Rickey E., Friedman, Paul A.

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Differentiating Left Ventricular Hypertrophy in Athletes from That in Patients With Hypertrophic Cardiomyopathy von Adedinsewo, Demilade, MD, MPH, Olayeye, Iwayemi, MD, Bakinde, Nicolas, MD, PhD

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The 30-Day Readmission Metric for Heart Failure von Adedinsewo, Demi, MD, MPH, Chang, Eric, MD, Olanipekun, Titilope, MD, MPH, Onwuanyi, Anekwe, MD

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Cardiovascular Disease Screening in Women: Leveraging Artificial Intelligence and Digital Tools von Adedinsewo, Demilade A., Pollak, Amy W., Phillips, Sabrina D., Smith, Taryn L., Svatikova, Anna, Hayes, Sharonne N., Mulvagh, Sharon L., Norris, Colleen, Roger, Veronique L., Noseworthy, Peter A., Yao, Xiaoxi, Carter, Rickey E.

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Screening for peripartum cardiomyopathies using artificial intelligence in Nigeria (SPEC-AI Nigeria): Clinical trial rationale and design von Adedinsewo, Demilade A., Morales-Lara, Andrea Carolina, Dugan, Jennifer, Garzon-Siatoya, Wendy T., Yao, Xiaoxi, Johnson, Patrick W., Douglass, Erika J., Attia, Zachi I., Phillips, Sabrina D., Yamani, Mohamad H., Tobah, Yvonne Butler, Rose, Carl H., Sharpe, Emily E., Lopez-Jimenez, Francisco, Friedman, Paul A., Noseworthy, Peter A., Carter, Rickey E.

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Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial von Adedinsewo, Demilade A., Morales-Lara, Andrea Carolina, Afolabi, Bosede B., Kushimo, Oyewole A., Mbakwem, Amam C., Ibiyemi, Kehinde F., Ogunmodede, James Ayodele, Raji, Hadijat Olaide, Ringim, Sadiq H., Habib, Abdullahi A., Hamza, Sabiu M., Ogah, Okechukwu S., Obajimi, Gbolahan, Saanu, Olugbenga Oluseun, Jagun, Olusoji E., Inofomoh, Francisca O., Adeolu, Temitope, Karaye, Kamilu M., Gaya, Sule A., Alfa, Isiaka, Yohanna, Cynthia, Venkatachalam, K. L., Dugan, Jennifer, Yao, Xiaoxi, Sledge, Hanna J., Johnson, Patrick W., Wieczorek, Mikolaj A., Attia, Zachi I., Phillips, Sabrina D., Yamani, Mohamad H., Tobah, Yvonne Butler, Rose, Carl H., Sharpe, Emily E., Lopez-Jimenez, Francisco, Friedman, Paul A., Noseworthy, Peter A., Carter, Rickey E.

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Trends and Outcomes of ST-Segment-Elevation Myocardial Infarction Among Young Women in the United States von Abe, Temidayo, Olanipekun, Titilope, Adedinsewo, Demilade, Ogunmoroti, Oluseye, Udongwo, Ndausung, Effoe, Valery, Rice, Bria, Onuorah, Ifeoma, Ghali, Jalal K, Mehta, Puja K, Michos, Erin D

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A Case-Control Study of Peripartum Cardiomyopathy Using the Rochester Epidemiology Project von Douglass, ERIKA J., COOPER, LESLIE T., MORALES-LARA, A. CAROLINA, ADEDINSEWO, DEMILADE A., ROZEN, TODD D., BLAUWET, LORI A., FAIRWEATHER, DELISA

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Detecting cardiomyopathies in pregnancy and the postpartum period with an electrocardiogram-based deep learning model von Adedinsewo, Demilade A, Johnson, Patrick W, Douglass, Erika J, Attia, Itzhak Zachi, Phillips, Sabrina D, Goswami, Rohan M, Yamani, Mohamad H, Connolly, Heidi M, Rose, Carl H, Sharpe, Emily E, Blauwet, Lori, Lopez-Jimenez, Francisco, Friedman, Paul A, Carter, Rickey E, Noseworthy, Peter A

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Sex Differences in CardioMEMS Utilization and Impact on Readmissions and Mortality in Heart Failure Patients von Markson, Favour, Abe, Temidayo A, Adedinsewo, Demilade, Olanipekun, Titilope, Shamaki, Garba Rimamskep, Kesiena, Onoriode, Mentz, Robert J, Michos, Erin D

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Non-invasive detection of cardiac allograft rejection among heart transplant recipients using an electrocardiogram based deep learning model von Adedinsewo, Demilade, Hardway, Heather D, Morales-Lara, Andrea Carolina, Wieczorek, Mikolaj A, Johnson, Patrick W, Douglass, Erika J, Dangott, Bryan J, Nakhleh, Raouf E, Narula, Tathagat, Patel, Parag C, Goswami, Rohan M, Lyle, Melissa A, Heckman, Alexander J, Leoni-Moreno, Juan C, Steidley, D Eric, Arsanjani, Reza, Hardaway, Brian, Abbas, Mohsin, Behfar, Atta, Attia, Zachi I, Lopez-Jimenez, Francisco, Noseworthy, Peter A, Friedman, Paul, Carter, Rickey E, Yamani, Mohamad

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