| 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 | 808 | 2020 |
| 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 | 537 | 2020 |
| 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 | 183 | 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 | 179 | 2021 |
| Experimental and real-world evidence supporting the computational repurposing of bumetanide for APOE4-related Alzheimer’s disease A Taubes, P Nova, KA Zalocusky, I Kosti, M Bicak, MY Zilberter, Y Hao, ... Nature Aging 1 (10), 932-947, 2021 | 70 | 2021 |
| Mount Sinai COVID Informatics Center A Lala, KW Johnson, JL Januzzi, AJ Russak, I Paranjpe, F Richter, S Zhao, ... Prevalence and impact of myocardial injury in patients hospitalized with …, 2020 | 34 | 2020 |
| & Glicksberg, BS (2020) A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe Machine learning to predict mortality and critical events in covid-19 …, 2020 | 30 | 2020 |
| Machine learning to predict mortality and critical events in covid-19 positive new york city patients A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ... medRxiv, 2020.04. 26.20073411, 2020 | 29 | 2020 |
| Machine learning to predict mortality and critical events in COVID-19 positive New York city patients: a cohort study A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ... J. Med. Internet Res 22 (11), 2020 | 23 | 2020 |
| Molecular imaging of apoptosis in atherosclerosis by targeting cell membrane phospholipid asymmetry F Chaudhry, H Kawai, KW Johnson, N Narula, A Shekhar, F Chaudhry, ... Journal of the American College of Cardiology 76 (16), 1862-1874, 2020 | 22 | 2020 |
| SARS-CoV-2 viral load predicts COVID-19 mortality. Lancet Respir Med. 2020; 8 (9): e70 E Pujadas, F Chaudhry, R McBride, F Richter, S Zhao, A Wajnberg, ... | 21 | |
| Sleep in the natural environment: a pilot study FF Chaudhry, M Danieletto, E Golden, J Scelza, G Botwin, M Shervey, ... Sensors 20 (5), 1378, 2020 | 20 | 2020 |
| Machine learning applications in the neuro ICU: a solution to big data mayhem? F Chaudhry, RJ Hunt, P Hariharan, SK Anand, S Sanjay, EE Kjoller, ... Frontiers in Neurology 11, 554633, 2020 | 19 | 2020 |
| Machine learning in cardiology—ensuring clinical impact lives up to the hype AJ Russak, F Chaudhry, JK De Freitas, G Baron, FF Chaudhry, ... Journal of Cardiovascular Pharmacology and Therapeutics 25 (5), 379-390, 2020 | 19 | 2020 |
| Derivation and validation of genome-wide polygenic score for urinary tract stone diagnosis I Paranjpe, N Tsao, R Judy, M Paranjpe, K Chaudhary, D Klarin, I Forrest, ... Kidney international 98 (5), 1323-1330, 2020 | 15 | 2020 |
| SARS-CoV-2 viral load predicts COVID-19 mortality. Lancet Respir Med. 2020; 8: e70 E Pujadas, F Chaudhry, R McBride, F Richter, S Zhao, A Wajnberg, ... | 13 | |
| CBKH: the cornell biomedical knowledge hub C Su, Y Hou, W Guo, F Chaudhry, G Ghahramani, H Zhang, F Wang medRxiv, 2021 | 11* | 2021 |
| Biomedical discovery through the integrative biomedical knowledge hub (iBKH) C Su, Y Hou, M Zhou, S Rajendran, JRMA Maasch, Z Abedi, H Zhang, ... Iscience 26 (4), 2023 | 10 | 2023 |
| Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: a retrospective cohort study I Paranjpe, K Chaudhary, KW Johnson, SK Jaladanki, S Zhao, ... Plos one 16 (2), e0247366, 2021 | 8 | 2021 |
| Heterogeneous graph embeddings of electronic health records improve critical care disease predictions T Wanyan, M Kang, MA Badgeley, KW Johnson, JK De Freitas, ... Artificial Intelligence in Medicine: 18th International Conference on …, 2020 | 6 | 2020 |
Girish NadkarniIcahn School of Medicine at Mount SinaiVerified email at mountsinai.org
