| Federated learning for healthcare informatics J Xu, BS Glicksberg, C Su, P Walker, J Bian, F Wang Journal of healthcare informatics research 5 (1), 1-19, 2021 | 1879 | 2021 |
| Artificial intelligence in cardiology KW Johnson, J Torres Soto, BS Glicksberg, K Shameer, R Miotto, M Ali, ... Journal of the American College of Cardiology 71 (23), 2668-2679, 2018 | 1406 | 2018 |
| Association of treatment dose anticoagulation with in-hospital survival among hospitalized patients with COVID-19 I Paranjpe, V Fuster, A Lala, AJ Russak, BS Glicksberg, MA Levin, ... Journal of the American College of Cardiology 76 (1), 122-124, 2020 | 1189 | 2020 |
| AKI in hospitalized patients with COVID-19 L Chan, K Chaudhary, A Saha, K Chauhan, A Vaid, S Zhao, I Paranjpe, ... Journal of the American Society of Nephrology 32 (1), 151-160, 2021 | 1094* | 2021 |
| Federated learning for predicting clinical outcomes in patients with COVID-19 I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ... Nature medicine 27 (10), 1735-1743, 2021 | 943 | 2021 |
| Prevalence and impact of myocardial injury in patients hospitalized with COVID-19 infection A Lala, KW Johnson, JL Januzzi, AJ Russak, I Paranjpe, F Richter, S Zhao, ... Journal of the American College of Cardiology 76 (5), 533-546, 2020 | 926 | 2020 |
| Identification of type 2 diabetes subgroups through topological analysis of patient similarity L Li, WY Cheng, BS Glicksberg, O Gottesman, R Tamler, R Chen, ... Science translational medicine 7 (311), 311ra174-311ra174, 2015 | 710 | 2015 |
| Machine learning in cardiovascular medicine: are we there yet? K Shameer, KW Johnson, BS Glicksberg, JT Dudley, PP Sengupta Heart 104 (14), 1156-1164, 2018 | 638 | 2018 |
| SARS-CoV-2 viral load predicts COVID-19 mortality E Pujadas, F Chaudhry, R McBride, F Richter, S Zhao, A Wajnberg, ... The Lancet Respiratory Medicine 8 (9), e70, 2020 | 616 | 2020 |
| Anticoagulation, mortality, bleeding and pathology among patients hospitalized with COVID-19: a single health system study GN Nadkarni, A Lala, E Bagiella, HL Chang, P Moreno, E Pujadas, ... J Am Coll Cardiol 76 (16), 1815-1826, 2020 | 566* | 2020 |
| Correction: Social connectedness as a determinant of mental health: A scoping review PJ Wickramaratne, T Yangchen, L Lepow, BG Patra, BS Glicksberg, ... PloS one 19 (11), e0314220, 2024 | 410* | 2024 |
| Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection V Ramlall, PM Thangaraj, C Meydan, J Foox, D Butler, J Kim, B May, ... Nature medicine 26 (10), 1609-1615, 2020 | 375 | 2020 |
| Deep learning and the electrocardiogram: review of the current state-of-the-art S Somani, AJ Russak, F Richter, S Zhao, A Vaid, F Chaudhry, ... EP Europace 23 (8), 1179-1191, 2021 | 343 | 2021 |
| Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments D Brin, V Sorin, A Vaid, A Soroush, BS Glicksberg, AW Charney, ... Scientific Reports 13 (1), 16492, 2023 | 340 | 2023 |
| A call for deep-learning healthcare B Norgeot, BS Glicksberg, AJ Butte Nature medicine 25 (1), 14-15, 2019 | 311 | 2019 |
| Coronavirus 2019 and people living with human immunodeficiency virus: outcomes for hospitalized patients in New York City K Sigel, T Swartz, E Golden, I Paranjpe, S Somani, F Richter, ... Clinical infectious diseases 71 (11), 2933-2938, 2020 | 304* | 2020 |
| Federated learning of electronic health records to improve mortality prediction in hospitalized patients with COVID-19: Machine learning approach A Vaid, SK Jaladanki, J Xu, S Teng, A Kumar, S Lee, S Somani, ... JMIR Medical Informatics 9 (1), e24207, 2021 | 292 | 2021 |
| Deep learning predicts hip fracture using confounding patient and healthcare variables MA Badgeley, JR Zech, L Oakden-Rayner, BS Glicksberg, M Liu, W Gale, ... NPJ digital medicine 2 (1), 31, 2019 | 278 | 2019 |
| Extracting social determinants of health from electronic health records using natural language processing: a systematic review BG Patra, MM Sharma, V Vekaria, P Adekkanattu, OV Patterson, ... Journal of the American Medical Informatics Association 28 (12), 2716-2727, 2021 | 273 | 2021 |
| Machine learning to predict mortality and critical events in a cohort of patients with COVID-19 in New York City: model development and validation A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ... Journal of Medical Internet Research 22 (11), e24018, 2020 | 267* | 2020 |
Girish NadkarniIcahn School of Medicine at Mount SinaiVerified email at mountsinai.org
