| International evaluation of an AI system for breast cancer screening SM McKinney, M Sieniek, V Godbole, J Godwin, N Antropova, H Ashrafian, ... Nature 577 (7788), 89-94, 2020 | 2217 | 2020 |
| Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19 Z Nabulsi, A Sellergren, S Jamshy, C Lau, E Santos, AP Kiraly, W Ye, ... Scientific reports 11 (1), 15523, 2021 | 39 | 2021 |
| Simplified transfer learning for chest radiography models using less data AB Sellergren, C Chen, Z Nabulsi, Y Li, A Maschinot, A Sarna, J Huang, ... Radiology 305 (2), 454-465, 2022 | 37 | 2022 |
| Generative artificial intelligence for chest radiograph interpretation in the emergency department J Huang, L Neill, M Wittbrodt, D Melnick, M Klug, M Thompson, J Bailitz, ... JAMA network open 6 (10), e2336100-e2336100, 2023 | 14 | 2023 |
| Significance of Intraoperative Medication Data and Predictive Model Selection for Predicting Postoperative First-Time Atrial Fibrillation J Yu, E Johnson, Y Deng, S Zhang, DS Melnick, M Etemadi, A Kho AMIA Summits on Translational Science Proceedings 2023, 320, 2023 | 1 | 2023 |
| Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan AP Kiraly, CA Cunningham, R Najafi, Z Nabulsi, J Yang, C Lau, ... Radiology: Artificial Intelligence, e230079, 2024 | | 2024 |
| Significance of Intraoperative Medication Data and Model Selection for Predicting Postoperative First-Time Atrial Fibrillation J Yu, E Johnson, Y Deng, S Zhang, DS Melnick, M Etemadi, A Kho | | 2023 |
| Simplified Transfer Learning for Chest X-ray Models using Less Data AB Sellergren, Z Nabulsi, Y Li, A Sarna, C Lau, SR Kalidindi, M Etemadi, ... | | 2022 |
| Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases Z Nabulsi, A Sellergren, S Jamshy, C Lau, E Santos, AP Kiraly, W Ye, ... | | 2021 |
| International evaluation of an AI system for breast cancer screening (vol 577, pg 89, 2020) SM McKinney, M Sieniek, V Godbole, J Godwin, N Antropova, H Ashrafian, ... Nature 586 (7829), E19-E19, 2020 | | 2020 |
| Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases (preprint) Z Nabulsi, A Sellergren, S Jamshy, C Lau, E Santos, AP Kiraly, W Ye, ... | | 2020 |
| Effects upon postoperative atrial fibrillation prediction of varied observation time windows Y Deng, K Yu, EMI Johnson, DS Melnick, SS Sandhu, M Etemadi, AN Kho 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-3, 2019 | | 2019 |
| Incorporating intra-operative medication information for prediction of post-operative atrial fibrillation EMI Johnson, J Yu, Y Deng, DS Melnick, SS Sandhu, F Ghamsari, ... 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-3, 2019 | | 2019 |
