| American College of Rheumatology guidelines for screening, treatment, and management of lupus nephritis BH Hahn, MA Mcmahon, A Wilkinson, WD Wallace, DI Daikh, ... Arthritis care & research 64 (6), 797-808, 2012 | 1748 | 2012 |
| The clinician and dataset shift in artificial intelligence SG Finlayson, A Subbaswamy, K Singh, J Bowers, A Kupke, J Zittrain, ... New England Journal of Medicine 385 (3), 283-286, 2021 | 432 | 2021 |
| External validation of a widely implemented proprietary sepsis prediction model in hospitalized patients A Wong, E Otles, JP Donnelly, A Krumm, J McCullough, ... JAMA Internal Medicine 181 (8), 1065-1070, 2021 | 427 | 2021 |
| Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, ... Nature medicine 28 (5), 924-933, 2022 | 278 | 2022 |
| Usability of commercially available mobile applications for diverse patients U Sarkar, GI Gourley, CR Lyles, L Tieu, C Clarity, L Newmark, K Singh, ... Journal of general internal medicine 31, 1417-1426, 2016 | 276 | 2016 |
| Characteristics associated with racial/ethnic disparities in COVID-19 outcomes in an academic health care system T Gu, JA Mack, M Salvatore, SP Sankar, TS Valley, K Singh, ... JAMA network open 3 (10), e2025197-e2025197, 2020 | 274* | 2020 |
| Many mobile health apps target high-need, high-cost populations, but gaps remain K Singh, K Drouin, LP Newmark, JH Lee, A Faxvaag, R Rozenblum, ... Health Affairs 35 (12), 2310-2318, 2016 | 194 | 2016 |
| Developing a framework for evaluating the patient engagement, quality, and safety of mobile health applications K Singh, K Drouin, LP Newmark, R Rozenblum, J Lee, A Landman, ... Issue Brief (Commonw Fund) 5 (1), 11, 2016 | 150 | 2016 |
| Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review E Mahmoudi, N Kamdar, N Kim, G Gonzales, K Singh, AK Waljee bmj 369, 2020 | 139 | 2020 |
| Evaluating a widely implemented proprietary deterioration index model among hospitalized patients with COVID-19 K Singh, TS Valley, S Tang, BY Li, F Kamran, MW Sjoding, J Wiens, ... Annals of the American Thoracic Society 18 (7), 1129-1137, 2021 | 103* | 2021 |
| Patients’ and nephrologists’ evaluation of patient-facing smartphone apps for CKD K Singh, CJ Diamantidis, S Ramani, NA Bhavsar, P Mara, J Warner, ... Clinical Journal of the American Society of Nephrology: CJASN 14 (4), 523, 2019 | 68 | 2019 |
| Identifying challenges and opportunities in human-AI collaboration in healthcare SY Park, PY Kuo, A Barbarin, E Kaziunas, A Chow, K Singh, L Wilcox, ... Conference Companion Publication of the 2019 on Computer Supported …, 2019 | 67 | 2019 |
| Iron, hepcidin, and death in human AKI DE Leaf, M Rajapurkar, SS Lele, B Mukhopadhyay, EAS Boerger, ... Journal of the American Society of Nephrology 30 (3), 493-504, 2019 | 58 | 2019 |
| The internet of federated things (IoFT) R Kontar, N Shi, X Yue, S Chung, E Byon, M Chowdhury, J Jin, W Kontar, ... IEEE Access 9, 156071-156113, 2021 | 57 | 2021 |
| Predicting 30-day hospital readmissions using artificial neural networks with medical code embedding W Liu, C Stansbury, K Singh, AM Ryan, D Sukul, E Mahmoudi, A Waljee, ... PloS one 15 (4), e0221606, 2020 | 57 | 2020 |
| Patient-facing mobile apps to treat high-need, high-cost populations: a scoping review K Singh, K Drouin, LP Newmark, M Filkins, E Silvers, PA Bain, DM Zulman, ... JMIR mHealth and uHealth 4 (4), e6445, 2016 | 57 | 2016 |
| Fibroblast growth factor 23 associates with death in critically ill patients DE Leaf, ED Siew, MF Eisenga, K Singh, FR Mc Causland, A Srivastava, ... Clinical Journal of the American Society of Nephrology 13 (4), 531-541, 2018 | 54 | 2018 |
| Implementation of a CKD checklist for primary care providers ML Mendu, LI Schneider, AA Aizer, K Singh, DE Leaf, TH Lee, SS Waikar Clinical Journal of the American Society of Nephrology 9 (9), 1526-1535, 2014 | 52 | 2014 |
| Development and validation of a deep-learning model to assist with renal cell carcinoma histopathologic interpretation M Fenstermaker, SA Tomlins, K Singh, J Wiens, TM Morgan Urology 144, 152-157, 2020 | 46 | 2020 |
| Epidemiology and natural history of the cardiorenal syndromes in a cohort with echocardiography TA Mavrakanas, A Khattak, K Singh, DM Charytan Clinical Journal of the American Society of Nephrology 12 (10), 1624-1633, 2017 | 44 | 2017 |
