| " The human body is a black box" supporting clinical decision-making with deep learning M Sendak, MC Elish, M Gao, J Futoma, W Ratliff, M Nichols, A Bedoya, ... Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 186 | 2020 |
| The cancer microbiome atlas: a pan-cancer comparative analysis to distinguish tissue-resident microbiota from contaminants AB Dohlman, DA Mendoza, S Ding, M Gao, H Dressman, ID Iliev, ... Cell host & microbe 29 (2), 281-298. e5, 2021 | 134 | 2021 |
| Real-world integration of a sepsis deep learning technology into routine clinical care: implementation study MP Sendak, W Ratliff, D Sarro, E Alderton, J Futoma, M Gao, M Nichols, ... JMIR medical informatics 8 (7), e15182, 2020 | 128 | 2020 |
| Presenting machine learning model information to clinical end users with model facts labels MP Sendak, M Gao, N Brajer, S Balu NPJ digital medicine 3 (1), 41, 2020 | 121 | 2020 |
| A path for translation of machine learning products into healthcare delivery MP Sendak, J D’Arcy, S Kashyap, M Gao, M Nichols, K Corey, W Ratliff, ... EMJ Innov 10, 19-00172, 2020 | 117 | 2020 |
| Prospective and external evaluation of a machine learning model to predict in-hospital mortality of adults at time of admission N Brajer, B Cozzi, M Gao, M Nichols, M Revoir, S Balu, J Futoma, J Bae, ... JAMA network open 3 (2), e1920733-e1920733, 2020 | 114 | 2020 |
| Machine learning for early detection of sepsis: an internal and temporal validation study AD Bedoya, J Futoma, ME Clement, K Corey, N Brajer, A Lin, MG Simons, ... JAMIA open 3 (2), 252-260, 2020 | 77 | 2020 |
| Machine learning in health care: a critical appraisal of challenges and opportunities M Sendak, M Gao, M Nichols, A Lin, S Balu EGEMs 7 (1), 2019 | 62 | 2019 |
| Applications of machine learning using electronic medical records in spine surgery JT Schwartz, M Gao, EA Geng, KS Mody, CM Mikhail, SK Cho Neurospine 16 (4), 643, 2019 | 44 | 2019 |
| Development and validation of machine learning models to predict admission from emergency department to inpatient and intensive care units A Fenn, C Davis, DM Buckland, N Kapadia, M Nichols, M Gao, ... Annals of emergency medicine 78 (2), 290-302, 2021 | 20 | 2021 |
| Development of a human immunodeficiency virus risk prediction model using electronic health record data from an academic health system in the southern United States CM Burns, L Pung, D Witt, M Gao, M Sendak, S Balu, D Krakower, ... Clinical Infectious Diseases 76 (2), 299-306, 2023 | 14 | 2023 |
| Variational disentanglement for rare event modeling Z Xiu, C Tao, M Gao, C Davis, BA Goldstein, R Henao Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10469 …, 2021 | 11 | 2021 |
| Assessing quality of surgical real-world data from an automated electronic health record pipeline KM Corey, J Helmkamp, M Simons, L Curtis, K Marsolo, S Balu, M Gao, ... Journal of the American College of Surgeons 230 (3), 295-305. e12, 2020 | 10 | 2020 |
| Sepsis watch: A real-world integration of deep learning into routine clinical care MP Sendak, W Ratliff, D Sarro, E Alderton, J Futoma, M Gao, M Nichols, ... JMIR Preprints 15182, 2019 | 10 | 2019 |
| Predicting hospital utilization and inpatient mortality of patients tested for COVID-19 C Davis, M Gao, M Nichols, R Henao medRxiv, 2020 | 8 | 2020 |
| Proceedings of the 2020 conference on fairness, accountability, and transparency M Sendak, MC Elish, M Gao, J Futoma, W Ratliff, M Nichols, C O’Brien | 8 | 2020 |
| Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission. JAMA Netw Open. 2020; 3 (2): e1920733 N Brajer, B Cozzi, M Gao, M Nichols, M Revoir, S Balu | 8 | 2019 |
| Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study. JMIR Med Inform. 2020 Jul 15; 8 (7): e15182 MP Sendak, W Ratliff, D Sarro, E Alderton, J Futoma, M Gao, M Nichols, ... | 8 | |
| Development and preliminary testing of Health Equity Across the AI Lifecycle (HEAAL): A framework for healthcare delivery organizations to mitigate the risk of AI solutions … JY Kim, A Hasan, KC Kellogg, W Ratliff, SG Murray, H Suresh, ... PLOS Digital Health 3 (5), e0000390, 2024 | 6 | 2024 |
| Preliminary results of a clinical research and innovation scholarship to prepare medical students to lead innovations in health care MP Sendak, M Gao, W Ratliff, K Whalen, M Nichols, J Futoma, S Balu Healthcare 9 (3), 100555, 2021 | 6 | 2021 |
