| Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review LA Celi, J Cellini, ML Charpignon, EC Dee, F Dernoncourt, R Eber, ... PLOS Digital Health 1 (3), e0000022, 2022 | 135 | 2022 |
| Deep learning to predict long-term mortality in patients requiring 7 days of mechanical ventilation N George, E Moseley, R Eber, J Siu, M Samuel, J Yam, K Huang, LA Celi, ... PloS one 16 (6), e0253443, 2021 | 13 | 2021 |
| Sources of bias in artificial intelligence that perpetuate healthcare disparities—a global review. PLOS Digit Health 1 (3): e0000022 LA Celi, J Cellini, ML Charpignon, EC Dee, F Dernoncourt, R Eber | 4 | 2022 |
| 32 ways to innovate business models through data: Emerging data-driven solution business model patterns from a study of 471 late stage data-driven startups J Schirmer, R Eber, I Bourdon HICSS 2021:: Hawaii International Conference on System Sciences, 2020 | 4 | 2020 |
| Emerging innovation patterns in digital agriculture: A study of 198 digital solutions from 116 startups J Schirmer, R Eber, M Florez, I Bourdon HICSS 2021, 2021 | 1 | 2021 |
| Patientenorientierte, personalisierte Medizin in der kinderärztlichen Praxis R Eber, SW Eber pädiatrische praxis, 2020 | 1 | 2020 |
| Diversity and inclusion: A hidden additional benefit of Open Data ML Charpignon, LA Celi, M Cobanaj, R Eber, A Fiske, J Gallifant, C Li, ... medRxiv, 2024.03. 17.24304443, 2024 | | 2024 |
| 32 ways to innovate business models through data: Emerging data-driven solution business model patterns from a study of 471 late stage data-driven startups R Eber, J Schirmer, I Bourdon | | 2021 |
| Economic Evaluation of an IT-supported Health Intervention in Overweight and Obese Children-The PathMate Project R Eber | | 2014 |
Leo Anthony CeliMassachusetts Institute of TechnologyVerified email at mit.edu
