| 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 | 270 | 2018 |
| 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 | 178 | 2018 |
| 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 | 177 | 2020 |
| Predictive modeling of hospital readmission rates using electronic medical record-wide machine learning: a case-study using Mount Sinai heart failure cohort K Shameer, KW Johnson, A Yahi, R Miotto, LI Li, D Ricks, J Jebakaran, ... PACIFIC SYMPOSIUM ON BIOCOMPUTING 2017, 276-287, 2017 | 84 | 2017 |
| Pathology of peripheral artery disease in patients with critical limb ischemia N Narula, AJ Dannenberg, JW Olin, DL Bhatt, KW Johnson, G Nadkarni, ... Journal of the American College of Cardiology 72 (18), 2152-2163, 2018 | 80 | 2018 |
| Deep learning for cardiovascular medicine: a practical primer C Krittanawong, KW Johnson, RS Rosenson, Z Wang, M Aydar, U Baber, ... European heart journal 40 (25), 2058-2073, 2019 | 65 | 2019 |
| Clinical characteristics of hospitalized Covid-19 patients in New York City I Paranjpe, A Russak, JK De Freitas, A Lala, R Miotto, A Vaid, ... MedRxiv, 2020 | 53 | 2020 |
| Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning K Shameer, BS Glicksberg, R Hodos, KW Johnson, MA Badgeley, ... Briefings in bioinformatics 19 (4), 656-678, 2018 | 53 | 2018 |
| Automated disease cohort selection using word embeddings from Electronic Health Records. BS Glicksberg, R Miotto, KW Johnson, K Shameer, L Li, R Chen, ... PSB, 145-156, 2018 | 46 | 2018 |
| Intracoronary imaging, cholesterol efflux, and transcriptomes after intensive statin treatment: the YELLOW II study AS Kini, Y Vengrenyuk, K Shameer, A Maehara, M Purushothaman, ... Journal of the American College of Cardiology 69 (6), 628-640, 2017 | 41 | 2017 |
| Enabling precision cardiology through multiscale biology and systems medicine KW Johnson, K Shameer, BS Glicksberg, B Readhead, PP Sengupta, ... JACC: Basic to Translational Science 2 (3), 311-327, 2017 | 38 | 2017 |
| The next generation of precision medicine: observational studies, electronic health records, biobanks and continuous monitoring BS Glicksberg, KW Johnson, JT Dudley Human molecular genetics 27 (R1), R56-R62, 2018 | 32 | 2018 |
| Medical student preparedness for an era of personalized medicine: findings from one US medical school C Eden, KW Johnson, O Gottesman, EP Bottinger, NS Abul-Husn Personalized medicine 13 (2), 129-141, 2016 | 31 | 2016 |
| Conditions and factors associated with spontaneous coronary artery dissection (from a national population-based cohort study) C Krittanawong, A Kumar, KW Johnson, Y Luo, B Yue, Z Wang, DL Bhatt The American journal of cardiology 123 (2), 249-253, 2019 | 28 | 2019 |
| Association of hemoglobin A1c levels with use of sulfonylureas, dipeptidyl peptidase 4 inhibitors, and thiazolidinediones in patients with type 2 diabetes treated with … R Vashisht, K Jung, A Schuler, JM Banda, RW Park, S Jin, L Li, JT Dudley, ... JAMA network open 1 (4), e181755-e181755, 2018 | 28 | 2018 |
| Genome sequences of the primary endosymbiont “Candidatus Portiera aleyrodidarum” in the whitefly Bemisia tabaci B and Q biotypes ZF Jiang, F Xia, KW Johnson, E Bartom, JH Tuteja, R Stevens, ... Journal of bacteriology 194 (23), 6678-6679, 2012 | 28 | 2012 |
| Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network S Raghunath, AEU Cerna, L Jing, J Stough, DN Hartzel, JB Leader, ... Nature medicine 26 (6), 886-891, 2020 | 27 | 2020 |
| Comparison of the genome sequences of “Candidatus Portiera aleyrodidarum” primary endosymbionts of the whitefly Bemisia tabaci B and Q biotypes ZF Jiang, F Xia, KW Johnson, CD Brown, E Bartom, JH Tuteja, R Stevens, ... Applied and environmental microbiology 79 (5), 1757-1759, 2013 | 23 | 2013 |
| Integrating blockchain technology with artificial intelligence for cardiovascular medicine C Krittanawong, AJ Rogers, M Aydar, E Choi, KW Johnson, Z Wang, ... Nature Reviews Cardiology 17 (1), 1-3, 2020 | 20 | 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 | 13 | 2020 |
Benjamin GlicksbergHasso Plattner Institute for Digital Health, Icahn School of Medicine at Mount SinaiEmail verificata su mssm.edu
