| 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 | 853 | 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 | 810 | 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 | 261* | 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 | 195* | 2021 |
| 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 |
| Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City I Paranjpe, AJ Russak, JK De Freitas, A Lala, R Miotto, A Vaid, ... BMJ open 10 (11), e040736, 2020 | 159* | 2020 |
| Utilization of deep learning for subphenotype identification in sepsis-associated acute kidney injury K Chaudhary, A Vaid, Á Duffy, I Paranjpe, S Jaladanki, M Paranjpe, ... Clinical Journal of the American Society of Nephrology 15 (11), 1557-1565, 2020 | 74 | 2020 |
| Downregulation of exhausted cytotoxic T cells in gene expression networks of multisystem inflammatory syndrome in children ND Beckmann, PH Comella, E Cheng, L Lepow, AG Beckmann, SR Tyler, ... Nature communications 12 (1), 4854, 2021 | 66* | 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 | 51 | 2023 |
| Using deep-learning algorithms to simultaneously identify right and left ventricular dysfunction from the electrocardiogram A Vaid, KW Johnson, MA Badgeley, SS Somani, M Bicak, I Landi, ... Cardiovascular Imaging 15 (3), 395-410, 2022 | 50 | 2022 |
| Contrastive learning improves critical event prediction in COVID-19 patients T Wanyan, H Honarvar, SK Jaladanki, C Zang, N Naik, S Somani, ... Patterns 2 (12), 2021 | 31 | 2021 |
| Sampling the host response to SARS-CoV-2 in hospitals under siege AW Charney, NW Simons, K Mouskas, L Lepow, E Cheng, J Le Berichel, ... Nature Medicine 26 (8), 1157-1158, 2020 | 30 | 2020 |
| Applications of machine learning methods in kidney disease: hope or hype? L Chan, A Vaid, GN Nadkarni Current opinion in nephrology and hypertension 29 (3), 319-326, 2020 | 27 | 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 |
| A foundational vision transformer improves diagnostic performance for electrocardiograms A Vaid, J Jiang, A Sawant, S Lerakis, E Argulian, Y Ahuja, J Lampert, ... NPJ Digital Medicine 6 (1), 108, 2023 | 17* | 2023 |
| 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 | 16 | 2020 |
| Predictive approaches for acute dialysis requirement and death in COVID-19 A Vaid, L Chan, K Chaudhary, SK Jaladanki, I Paranjpe, A Russak, A Kia, ... Clinical Journal of the American Society of Nephrology 16 (8), 1158-1168, 2021 | 15 | 2021 |
| Comparison of approaches for prediction of renal replacement therapy-free survival in patients with acute kidney injury P Pattharanitima, A Vaid, SK Jaladanki, I Paranjpe, R O’Hagan, ... Blood Purification 50 (4-5), 621-627, 2021 | 15 | 2021 |
| Relational learning improves prediction of mortality in COVID-19 in the intensive care unit T Wanyan, A Vaid, JK De Freitas, S Somani, R Miotto, GN Nadkarni, ... IEEE transactions on big data 7 (1), 38-44, 2020 | 14 | 2020 |
| Acute kidney injury in patients hospitalized with COVID-19 in New York City: temporal trends from March 2020 to April 2021 S Dellepiane, A Vaid, SK Jaladanki, S Coca, ZA Fayad, AW Charney, ... Kidney Medicine 3 (5), 877-879, 2021 | 13 | 2021 |
