| Intelligent ICU for autonomous patient monitoring using pervasive sensing and deep learning A Davoudi, KR Malhotra, B Shickel, S Siegel, S Williams, M Ruppert, ... Scientific reports 9 (1), 1-13, 2019 | 139 | 2019 |
| Comparing clinical judgment with the MySurgeryRisk algorithm for preoperative risk assessment: A pilot usability study M Brennan, S Puri, T Ozrazgat-Baslanti, Z Feng, M Ruppert, ... Surgery 165 (5), 1035-1045, 2019 | 85 | 2019 |
| Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics L Adhikari, T Ozrazgat-Baslanti, M Ruppert, R Madushani, S Paliwal, ... PloS one 14 (4), e0214904, 2019 | 78 | 2019 |
| Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform Y Ren, TJ Loftus, S Datta, MM Ruppert, Z Guan, S Miao, B Shickel, Z Feng, ... JAMA Network Open 5 (5), e2211973-e2211973, 2022 | 58 | 2022 |
| Improving the intensive care patient experience with virtual reality—a feasibility study TL Ong, MM Ruppert, M Akbar, P Rashidi, T Ozrazgat-Baslanti, A Bihorac, ... Critical care explorations 2 (6), e0122, 2020 | 55 | 2020 |
| Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible TJ Loftus, PJ Tighe, T Ozrazgat-Baslanti, JP Davis, MM Ruppert, Y Ren, ... PLOS Digital Health 1 (1), e0000006, 2022 | 41 | 2022 |
| Uncertainty-aware deep learning in healthcare: A scoping review TJ Loftus, B Shickel, MM Ruppert, JA Balch, T Ozrazgat-Baslanti, PJ Tighe, ... PLOS Digital Health 1 (8), e0000085, 2022 | 38 | 2022 |
| Reinforcement learning in surgery S Datta, Y Li, MM Ruppert, Y Ren, B Shickel, T Ozrazgat-Baslanti, ... Surgery 170 (1), 329-332, 2021 | 37 | 2021 |
| Added Value of Intraoperative Data for Predicting Postoperative Complications: The MySurgeryRisk PostOp Extension S Datta, TJ Loftus, MM Ruppert, C Giordano, GR Upchurch Jr, P Rashidi, ... Journal of Surgical Research 254, 350-363, 2020 | 36 | 2020 |
| ICU Delirium Prediction Models: A Systematic Review MM Ruppert, J Lipori, S Patel, E Ingersent, T Ozrazgat-Baslanti, T Loftus, ... arXiv.org, arXiv:1911.02548, 2019 | 31 | 2019 |
| Deep multi-modal transfer learning for augmented patient acuity assessment in the intelligent ICU B Shickel, A Davoudi, T Ozrazgat-Baslanti, M Ruppert, A Bihorac, ... Frontiers in digital health 3, 640685, 2021 | 22 | 2021 |
| The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring A Davoudi, KR Malhotra, B Shickel, S Siegel, S Williams, M Ruppert, ... arXiv preprint arXiv:1804.10201, 2018 | 18 | 2018 |
| Preoperative assessment of the risk for multiple complications after surgery T Ozrazgat-Baslanti, P Blanc, P Thottakkara, M Ruppert, P Rashidi, ... Surgery 160 (2), 463-472, 2016 | 18 | 2016 |
| Association of Postoperative Undertriage to Hospital Wards With Mortality and Morbidity TJ Loftus, MM Ruppert, T Ozrazgat-Baslanti, JA Balch, PA Efron, PJ Tighe, ... JAMA Network Open 4 (11), e2131669-e2131669, 2021 | 15 | 2021 |
| The effect of non-pharmacologic strategies on prevention or management of intensive care unit delirium: a systematic review JS Cupka, H Hashemighouchani, J Lipori, MM Ruppert, R Bhaskar, ... F1000Research 9, 2020 | 14 | 2020 |
| Development and validation of computable Phenotype to Identify and Characterize Kidney Health in Adult Hospitalized Patients T Ozrazgat-Baslanti, A Motaei, R Islam, H Hashemighouchani, M Ruppert, ... arXiv preprint arXiv:1903.03149, 2019 | 14 | 2019 |
| Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks B Shickel, TJ Loftus, M Ruppert, GR Upchurch Jr, T Ozrazgat-Baslanti, ... Scientific Reports 13 (1), 1224, 2023 | 13 | 2023 |
| Advances in artificial intelligence and deep learning systems in ICU-related acute kidney injury T Ozrazgat-Baslanti, TJ Loftus, Y Ren, MM Ruppert, A Bihorac Current Opinion in Critical Care 27 (6), 560-572, 2021 | 13 | 2021 |
| Federated learning for preserving data privacy in collaborative healthcare research TJ Loftus, MM Ruppert, B Shickel, T Ozrazgat-Baslanti, JA Balch, PA Efron, ... Digital Health 8, 20552076221134455, 2022 | 12 | 2022 |
| The impact of environmental risk factors on delirium and benefits of noise and light modifications: a scoping review H Hashemighouchani, J Cupka, J Lipori, MM Ruppert, E Ingersent, ... F1000Research 9, 2020 | 12 | 2020 |
Azra BihoracUniversity of Florida, Professor of Medicine, Surgery and Anesthesiology在 ufl.edu 的电子邮件经过验证
