| DeepCOVID-XR: an artificial intelligence algorithm to detect COVID-19 on chest radiographs trained and tested on a large US clinical data set RM Wehbe, J Sheng, S Dutta, S Chai, A Dravid, S Barutcu, Y Wu, ... Radiology 299 (1), E167-E176, 2021 | 156 | 2021 |
| Clinical-longformer and clinical-bigbird: Transformers for long clinical sequences Y Li, RM Wehbe, FS Ahmad, H Wang, Y Luo arXiv preprint arXiv:2201.11838, 2022 | 72 | 2022 |
| A comparative study of pretrained language models for long clinical text Y Li, RM Wehbe, FS Ahmad, H Wang, Y Luo Journal of the American Medical Informatics Association 30 (2), 340-347, 2023 | 52 | 2023 |
| When to tell and test for genetic carrier status: perspectives of adolescents and young adults from fragile X families RM Wehbe, GA Spiridigliozzi, EM Heise, DV Dawson, A McConkie‐Rosell American journal of medical genetics Part A 149 (6), 1190-1199, 2009 | 36 | 2009 |
| A simple score to identify increased risk of transthyretin amyloid cardiomyopathy in heart failure with preserved ejection fraction DR Davies, MM Redfield, CG Scott, M Minamisawa, M Grogan, ... JAMA cardiology 7 (10), 1036-1044, 2022 | 35 | 2022 |
| Predicting high-risk patients and high-risk outcomes in heart failure RM Wehbe, SS Khan, SJ Shah, FS Ahmad Heart failure clinics 16 (4), 387-407, 2020 | 24 | 2020 |
| Advances in machine learning approaches to heart failure with preserved ejection fraction FS Ahmad, Y Luo, RM Wehbe, JD Thomas, SJ Shah Heart failure clinics 18 (2), 287-300, 2022 | 20 | 2022 |
| Underuse of oral anticoagulants for nonvalvular atrial fibrillation: past, present, and future RM Wehbe, A Yadlapati Texas Heart Institute Journal 43 (4), 287-290, 2016 | 19 | 2016 |
| Deep learning for cardiovascular imaging: A review RM Wehbe, AK Katsaggleos, KJ Hammond, H Hong, FS Ahmad, ... JAMA cardiology, 2023 | 17 | 2023 |
| Technology and its influence on the doctor-patient relationship R Wehbe, E Curcio, M Gajjar, A Yadlapati International Cardiovascular Forum Journal 3, 38-39, 2015 | 15 | 2015 |
| Cases from a busy nuclear cardiology laboratory: Potential pitfalls in the interpretation of cardiac scintigraphy for ATTR cardiac amyloidosis RM Wehbe, P Kansal, TA Holly Journal of Nuclear Cardiology 28, 653-660, 2021 | 7 | 2021 |
| Targeting the correct population when designing transitional care programs for Medicare patients hospitalized with heart failure FS Ahmad, RM Wehbe, P Kansal, HA Jackson, AS Anderson, CW Yancy, ... JAMA cardiology 2 (11), 1274-1275, 2017 | 6 | 2017 |
| Could an artificial intelligence approach to prior authorization be more human? LA Lenert, S Lane, R Wehbe Journal of the American Medical Informatics Association 30 (5), 989-994, 2023 | 5 | 2023 |
| Validating Deep Learning to Distinguish Takotsubo Syndrome From Acute Myocardial Infarction—Beware of Shortcuts, Human Supervision Required RM Wehbe, JD Thomas JAMA cardiology 7 (5), 477-479, 2022 | 4 | 2022 |
| Sex differences in outcomes of LVAD patients bridged to transplant: the problem of selection bias RM Wehbe, AS Anderson JACC: Heart Failure 7 (8), 731-731, 2019 | 4 | 2019 |
| Echoing errors: the problem of uncurated “big data” in echocardiography RM Wehbe Journal of the American Society of Echocardiography 36 (11), 1201-1203, 2023 | 2 | 2023 |
| Hyponatremia Is a Powerful Predictor of Poor Prognosis in Left Ventricular Assist Device Patients A Tibrewala, RM Wehbe, T Wu, R Harap, K Ghafourian, JE Wilcox, ... ASAIO Journal 68 (12), 1475-1482, 2022 | 2 | 2022 |
| Unsupervised machine learning of LGE patterns on cardiac MRI identifies patients at risk for right ventricular failure after LVAD JM Simkowski, RM Wehbe, J Goergen, AS Anderson, K Ghafourian, ... Journal of Cardiac Failure 26 (10), S146, 2020 | 2 | 2020 |
| Accuracy and consistency of online large language model-based artificial intelligence chat platforms in answering patients' questions about heart failure E Kozaily, M Geagea, ER Akdogan, J Atkins, MB Elshazly, M Guglin, ... International Journal of Cardiology 408, 132115, 2024 | 1 | 2024 |
| Deepcovid-fuse: A multi-modality deep learning model fusing chest x-rays and clinical variables to predict covid-19 risk levels Y Wu, A Dravid, RM Wehbe, AK Katsaggelos Bioengineering 10 (5), 556, 2023 | 1 | 2023 |
Faraz S. AhmadAssistant Professor of Medicine-Cardiology, Northwestern University在 fsm.northwestern.edu 的电子邮件经过验证
