| Development and validation of a deep-learning model to screen for hyperkalemia from the electrocardiogram CD Galloway, AV Valys, JB Shreibati, DL Treiman, FL Petterson, ... JAMA cardiology 4 (5), 428-436, 2019 | 259 | 2019 |
| Association of coronary CT angiography or stress testing with subsequent utilization and spending among Medicare beneficiaries JB Shreibati, LC Baker, MA Hlatky Jama 306 (19), 2128-2136, 2011 | 216 | 2011 |
| Cost-effectiveness of left ventricular assist devices in ambulatory patients with advanced heart failure J Baras Shreibati, JD Goldhaber-Fiebert, D Banerjee, DK Owens, ... JACC: Heart Failure 5 (2), 110-119, 2017 | 133 | 2017 |
| Functional testing or coronary computed tomography angiography in patients with stable coronary artery disease ME Jørgensen, C Andersson, BL Nørgaard, J Abdulla, JB Shreibati, ... Journal of the American College of Cardiology 69 (14), 1761-1770, 2017 | 125 | 2017 |
| Artificial intelligence–enabled assessment of the heart rate corrected QT interval using a mobile electrocardiogram device JR Giudicessi, M Schram, JM Bos, CD Galloway, JB Shreibati, ... Circulation 143 (13), 1274-1286, 2021 | 105 | 2021 |
| Impact of the Screening Abdominal Aortic Aneurysms Very Efficiently (SAAAVE) Act on abdominal ultrasonography use among medicare beneficiaries JB Shreibati, LC Baker, MA Hlatky, MW Mell Archives of internal medicine 172 (19), 1456-1462, 2012 | 86 | 2012 |
| The relationship between low back magnetic resonance imaging, surgery, and spending: impact of physician self‐referral status JB Shreibati, LC Baker Health services research 46 (5), 1362-1381, 2011 | 61 | 2011 |
| Late diagnosis of abdominal aortic aneurysms substantiates underutilization of abdominal aortic aneurysm screening for Medicare beneficiaries MW Mell, MA Hlatky, JB Shreibati, RL Dalman, LC Baker Journal of Vascular Surgery 57 (6), 1519-1523. e1, 2013 | 38 | 2013 |
| Outcomes after coronary artery calcium and other cardiovascular biomarker testing among asymptomatic Medicare beneficiaries JB Shreibati, LC Baker, MV McConnell, MA Hlatky Circulation: Cardiovascular Imaging 7 (4), 655-662, 2014 | 16 | 2014 |
| Prediction of the heart rate corrected QT interval (QTc) from a novel, multilead smartphone-enabled ECG using a deep neural network M Schram, JB Shreibati, M Bos, C Galloway, A Valys, F Petterson, ... Journal of the American College of Cardiology 73 (9S1), 368-368, 2019 | 8 | 2019 |
| Heart failure medications prescribed at discharge for patients with left ventricular assist devices JB Shreibati, S Sheng, GC Fonarow, AD DeVore, CW Yancy, DL Bhatt, ... American heart journal 179, 99-106, 2016 | 8 | 2016 |
| Impact of hormone therapy on Medicare spending in the Women’s Health Initiative randomized clinical trials JB Shreibati, JAE Manson, KL Margolis, RT Chlebowski, ML Stefanick, ... American heart journal 198, 108-114, 2018 | 5 | 2018 |
| Fiscal fitness? exercise capacity and health care costs J Baras Shreibati, MA Hlatky Journal of the American College of Cardiology 66 (17), 1886-1887, 2015 | 5 | 2015 |
| 5105 a deep neural network predicts atrial fibrillation from normal ecgs recorded on a smartphone-enabled device C Galloway, D Treiman, J Shreibati, M Schram, Z Karbaschi, A Valys, ... European Heart Journal 40 (Supplement_1), ehz746. 0041, 2019 | 4 | 2019 |
| Development and validation of a deep-learning model to predict 10-year atherosclerotic cardiovascular disease risk from retinal images using the UK Biobank and EyePACS 10K datasets E Vaghefi, D Squirrell, S Yang, S An, L Xie, MK Durbin, H Hou, J Marshall, ... Cardiovascular Digital Health Journal 5 (2), 59-69, 2024 | 3 | 2024 |
| A deep neural network predicts atrial fibrillation from normal ECGs recorded on a smartphone-enabled device C Galloway, D Treiman, J Shreibati, M Schram, Z Karbaschi, A Valys, ... EUROPEAN HEART JOURNAL 40, 3096-3096, 2019 | 3 | 2019 |
| Development and validation of a deep-learning model to predict 10-year ASCVD risk from retinal images using the UK Biobank and EyePACS 10K datasets E Vaghefi, D Squirrell, S Yang, S An, L Xie, MK Durbin, H Hou, J Marshall, ... medRxiv, 2023.09. 20.23295870, 2023 | 2 | 2023 |
| Atrial Fibrillation Progression in a Novel Digital Health Cohort Z Karbaschi, J Shreibati, A Valys, D Treiman, DE Albert, S Stavrakis Circulation 140 (Suppl_1), A11707-A11707, 2019 | | 2019 |
| Hormone therapy has little impact on Medicare expenditure JB Shreibati PharmacoEconomics & Outcomes News 804, 16-2, 2018 | | 2018 |
| Initial functional testing or CT coronary angiography and associations with subsequent management and clinical outcomes: A nationwide cohort study ME Jørgensen, C Andersson, BL Nørgaard, J Abdulla, JB Shreibati, ... Kongres for Medicinsk Studenterforskning, Abstracts, 16.-19. marts 2017 …, 2017 | | 2017 |
