| A supervised approach to robust photoplethysmography quality assessment T Pereira, K Gadhoumi, M Ma, X Liu, R Xiao, RA Colorado, KJ Keenan, ... IEEE journal of biomedical and health informatics 24 (3), 649-657, 2019 | 79 | 2019 |
| Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation T Pereira, C Ding, K Gadhoumi, N Tran, RA Colorado, K Meisel, X Hu Physiological measurement 40 (12), 125002, 2019 | 56 | 2019 |
| A deep learning approach to examine ischemic ST changes in ambulatory ECG recordings R Xiao, Y Xu, MM Pelter, DW Mortara, X Hu AMIA Summits on Translational Science Proceedings 2018, 256, 2018 | 45 | 2018 |
| Explainability metrics of deep convolutional networks for photoplethysmography quality assessment O Zhang, C Ding, T Pereira, R Xiao, K Gadhoumi, K Meisel, RJ Lee, ... IEEE Access 9, 29736-29745, 2021 | 29 | 2021 |
| Monitoring significant ST changes through deep learning R Xiao, Y Xu, MM Pelter, R Fidler, F Badilini, DW Mortara, X Hu Journal of electrocardiology 51 (6), S78-S82, 2018 | 28 | 2018 |
| Robust assessment of photoplethysmogram signal quality in the presence of atrial fibrillation T Pereira, K Gadhoumi, M Ma, R Colorado, KJ Keenan, K Meisel, X Hu 2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018 | 12 | 2018 |
| Evaluation of ECG algorithms designed to improve detect of transient myocardial ischemia to minimize false alarms in patients with suspected acute coronary syndrome MM Pelter, Y Xu, R Fidler, R Xiao, DW Mortara, H Xiao Journal of electrocardiology 51 (2), 288-295, 2018 | 12 | 2018 |
| A statistical comparative study of photoplethysmographic signals in wrist-worn and fingertip pulse-oximetry devices K Gadhoumi, K Keenan, R Colorado, K Meisel, X Hu 2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018 | 6 | 2018 |
| Predict in-hospital code blue events using monitor alarms through deep learning approach R Xiao, J King, A Villaroman, DH Do, NG Boyle, X Hu 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 6 | 2018 |
| Technical considerations for evaluating clinical prediction indices: a case study for predicting code blue events with MEWS K Gadhoumi, A Beltran, CG Scully, R Xiao, DO Nahmias, X Hu Physiological measurement 42 (5), 055005, 2021 | 5 | 2021 |
| Generalizability of superalarm via cross-institutional performance evaluation R Xiao, D Do, C Ding, K Meisel, RJ Lee, X Hu IEEE Access 8, 132404-132412, 2020 | 4 | 2020 |
| Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes D Liu, C Ding, D Bold, M Bouvier, J Lu, B Shickel, CS Jabaley, W Zhang, ... arXiv preprint arXiv:2401.13588, 2024 | 2 | 2024 |
| Digital Health Innovations to Promote Physical Activities in Patients with Cancer T Albrecht, Y Chen, D Allen, A Pastva, Z Tian, Y Lin, D Bold, X Hu, R Xiao Studies in health technology and informatics 315, 608-609, 2024 | 1 | 2024 |
| Evaluation of General Large Language Models in Understanding Clinical Concepts Extracted from Adult Critical Care Electronic Health Record Notes D Liu, C Ding, D Bold, M Bouvier, J Lu, B Shickel, CS Jabaley, W Zhang, ... | 1 | 2024 |
| Uncovering Sex Bias in Machine Learning Algorithms for Detecting Acute Myocardial Infarction using Electrocardiographic Data YSR Kandikonda, A Goyal, J Zegre-Hemsey, L Kumar, D Wright, ... Circulation 150 (Suppl_1), A4141659-A4141659, 2024 | | 2024 |
| Development of a Technology-Based Dyadic Intervention for Underserved Colorectal Cancer Patients and Caregivers Y Lin, C Xiao, LS Porter, OB Alese, MK Higgins, DS Liu, D Bold, X Hu Studies in health technology and informatics 315, 721-722, 2024 | | 2024 |
| Extracting predictive rules from time series of model outputs of continuous clinical predictive models R Xiao, MT Clark, D Bold, N Modhe, T Ruchti, X Hu Journal of Electrocardiology 84, 31-32, 2024 | | 2024 |
| Systematic Evaluation of General Large Language Models for Contextually Assessed Semantic Concepts From Unstructured Critical Care Data JH Yoon, D Liu, D Bold, J Lu, R Xiao, C Ding, C Yang, G Clermont, X Hu C22. ARTIFICIAL INTELLIGENCE IN THE ICU: THE MACHINE WILL SEE YOU NOW, A5060 …, 2024 | | 2024 |
