Medical AI eXploration Laboratory

2024

• Bradley H, Smith BA, Xiao R. Associations between EEG power and coherence with cognition and early precursors of speech and language development across the first months of life. PloS one. 2024;19(4):e0300382. Epub 20240416. doi: 10.1371/journal.pone.0300382. PubMed PMID: 38625991; PMCID: PMC11020796.

• Ding C, Guo Z, Rudin C, Xiao R, Shah A, Do DH, Lee RJ, Clifford G, Nahab FB, Hu X. Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection Using Eight Million Samples Labeled With Imprecise Arrhythmia Alarms | IEEE Journals & Magazine | IEEE Xplore. IEEE journal of biomedical and health informatics. 2024;28(5). doi: 10.1109/JBHI.2024.3360952.

• Ding C, Xiao R, Wang W, Holdsworth E, Hu X. Photoplethysmography based atrial fibrillation detection: a continually growing field. Physiol Meas. 2024;45(4):04TR1. Epub 20240417. doi: 10.1088/1361-6579/ad37ee. PubMed PMID: 38530307.

• Liu D, Ding C, Bold D, Bouvier M, Lu J, Shickel B, Jabaley CS, Zhang W, Park S, Young MJ, Wainwright MS, Clermont G, Rashidi P, Rosenthal ES, Dimisko L, Xiao R, Heung Yoon J, Yang C, Hu X, Liu D, Ding C, Bold D, Bouvier M, Lu J, Shickel B, Jabaley CS, Zhang W, Park S, Young MJ, Wainwright MS, Clermont G, Rashidi P, Rosenthal ES, Dimisko L, Xiao R, Heung Yoon J, Yang C, Hu X. Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes. arXiv e-prints. 2024. doi: 10.48550/arXiv.2401.13588.

• Yan R, Bhatia NK, Merchant FM, Fedorov A, Xiao R, Ding C, Hu X. Enabling Pre-Shock State Detection using Electrogram Signals from Implantable Cardioverter-Defibrillators.  Companion Proceedings of the ACM Web Conference 2024; Singapore, Singapore: Association for Computing Machinery; 2024. p. 1138–41.

2023

• Xiao, R., Ding, C., Hu, X., Clifford, G. D., Wright, D. W., Shah, A. J., … Zègre-Hemsey, J. K. (2023). Integrating multimodal information in machine learning for classifying acute myocardial infarction. Physiological Measurement. 44(4):044002.

• Ding, C., Xiao, R., Do, D. H., Lee, D. S., Lee, R. J., Kalantarian, S., & Hu, X. (2023). Log-spectral matching gan: Ppg-based atrial fibrillation detection can be enhanced by gan-based data augmentation with integration of spectral loss. IEEE Journal of Biomedical and Health Informatics, 27(3), 1331–1341.

2022

• Xiao, R., Ding, C., & Hu, X. (2022). Time Synchronization of Multimodal Physiological Signals through Alignment of Common Signal Types and Its Technical Considerations in Digital Health. Journal of Imaging, 8(5), 120.

• Shakya, S., Prevett, J., Hu, X., & Xiao, R. (2022). Characterization of Parkinson’s Disease Subtypes and Related Attributes. Frontiers in Neurology, 13.

• Ding, C., Pereira, T., Xiao, R., Lee, R. J., & Hu, X. (2022). Impact of Label Noise on the Learning Based Models for a Binary Classification of Physiological Signal. Sensors, 22(19), 7166.

• Xiao, R., Ding, C., Hu, X., & Zegre-Hemsey, J. (2022). ML for MI-Integrating Multimodal Information in Machine Learning for Predicting Acute Myocardial Infarction. MedRxiv, 2022–2010.

2021

• Zhang, O., Ding, C., Pereira, T., Xiao, R., Gadhoumi, K., Meisel, K., … Hu, X. (2021). Explainability metrics of deep convolutional networks for photoplethysmography quality assessment. IEEE Access, 9, 29736–29745.

• Nishiyori, R., Xiao, R., Vanderbilt, D., & Smith, B. A. (2021). Electroencephalography measures of relative power and coherence as reaching skill emerges in infants born preterm. Scientific Reports, 11(1), 3609.

• Gadhoumi, K., Beltran, A., Scully, C. G., Xiao, R., Nahmias, D. O., & Hu, X. (2021). Technical considerations for evaluating clinical prediction indices: a case study for predicting code blue events with MEWS. Physiological Measurement, 42(5), 055005.

• Xiao, R., Yang, F., Ding, C., Zegre-Hemsey, J. K., & Hu, X. (2021). Identifying Myocardial Infarction Using Clinical 12-Lead Electrocardiogram and Deep Learning. Circulation, 144(Suppl_1), A9894–A9894.

2020 and Earlier

• Xiao, R., Do, D., Ding, C., Meisel, K., Lee, R. J., & Hu, X. (2020). Generalizability of superalarm via cross-institutional performance evaluation. IEEE Access, 8, 132404–132412.

• Nishiyori, R., Xiao, R., Vanderbilt, D., & Smith, B. (2020). Changes in Relative Power Using EEG in Preterm Infants Across the First Months of Life. JOURNAL OF SPORT & EXERCISE PSYCHOLOGY, 42, S19–S19. 

• Pereira, T., Gadhoumi, K., Ma, M., Liu, X., Xiao, R., Colorado, R. A., … Hu, X. (2019). A supervised approach to robust photoplethysmography quality assessment. IEEE Journal of Biomedical and Health Informatics, 24(3), 649–657.

• Liu, X., Gadhoumi, K., Xiao, R., Tran, N., Smielewski, P., Czosnyka, M., … Hu, X. (2019). Continuous monitoring of cerebrovascular reactivity through pulse transit time and intracranial pressure. Physiological Measurement, 40(1), 01LT01.

• Xiao, R., Malekmohammadi, M., Pouratian, N., & Hu, X. (2019). Characterization of pallidocortical motor network in Parkinson’s disease through complex network analysis. Journal of Neural Engineering, 16(6), 066034.

• Pelter, M. M., Xu, Y., Fidler, R., Xiao, R., Mortara, D. W., & Xiao, H. (2018). Evaluation of ECG algorithms designed to improve detect of transient myocardial ischemia to minimize false alarms in patients with suspected acute coronary syndrome. Journal of Electrocardiology, 51(2), 288–295.

• Xiao, R., Shida-Tokeshi, J., Vanderbilt, D. L., & Smith, B. A. (2018). Electroencephalography power and coherence changes with age and motor skill development across the first half year of life. PLoS One, 13(1), e0190276.

• Xiao, R., Xu, Y., Pelter, M., Fidler, R., Badilini, F., Mortara, D. W., & Hu, X. (2018). Monitoring significant ST changes through deep learning. Journal of Electrocardiology, 51, S78–S82.

• Hooyman, A., Kayekjian, D., Xiao, R., Jiang, C., Vanderbilt, D. L., & Smith, B. A. (2018). Relationships between variance in electroencephalography relative power and developmental status in infants with typical development and at risk for developmental disability: An observational study. Gates Open Research, 2, 47.

• Xiao, R., Qi, X., Patino, A., Fagg, A. H., Kolobe, T. H. A., Miller, D. P., & Ding, L. (2017). Characterization of infant mu rhythm immediately before crawling: A high-resolution EEG study. NeuroImage, 146, 47–57.

• Tong, J., Lin, Q., Xiao, R., & Ding, L. (2016). Combining multiple features for error detection and its application in brain--computer interface. Biomedical Engineering Online, 15, 1–15.

• Xiao, R., & Ding, L. (2015). EEG resolutions in detecting and decoding finger movements from spectral analysis. Frontiers in Neuroscience, 9, 308.

• Liao, K., Xiao, R., Gonzalez, J., & Ding, L. (2014). Decoding individual finger movements from one hand using human EEG signals. PloS One, 9(1), e85192.

• Xiao, R., & Ding, L. (2013). Evaluation of EEG features in decoding individual finger movements from one hand. Computational and Mathematical Methods in Medicine, 2013.

• Xiao R, Clark MT, Bold D, Modhe N, Ruchti T, Hu X. Extracting predictive rules from time series of model outputs of continuous clinical predictive models. Journal of Electrocardiology. 2024 May 1;84:31-2.

• Yoon J, Liu D, Bold D, Lu J, Xiao R, Ding C, Yang C, Clermont G, Hu X. Systematic Evaluation of General Large Language Models for Contextually Assessed Semantic Concepts From Unstructured Critical Care Data. Am J Respir Crit Care Med. 2024;209:A5060-A. doi: 10.1164/ajrccm-conference.2024.209.1_MeetingAbstracts.A5060.

• Xiao R, Ding C, Zegre-Hemsey J, Hu X, and Al-Zaiti SS. In Search of the Optimal ECG Input Architecture for Deep Learning-Based Prediction of Acute Myocardial Infarction. The International Society for Computerized Electrocardiology (ISCE) Conference. 2023.

• Xiao R, Yang F, Ding C, Zegre-hemsey JK, Hu X. Abstract 9894: Identifying Myocardial Infarction Using Clinical 12-Lead Electrocardiogram and Deep Learning. Circulation. 144(Suppl_1): A9894-A. 2021.

• Duan L, Xiao R, Hu X, Ruchti T, Ding C, Tsumura H. Application of Co-occurring Token Framework to EHR data: A case study in predicting ARDS. International Conference on Complex Acute Illness. 2021.

• Zegre-Hemsey J, Xiao R, Ding C, Do D, and Hu X. Impact of ECG Waveform Representation on Classification of Cardiac Arrhythmias via Deep Learning. Machine Learning for Healthcare. 2021.

• Jayasekara A, Nishiyori R, Symeonidou E, Xiao R, Smith B. Assessing electrocortical changes in relative alpha and theta power over the frontal cortex during resting state in infants learning to reach. Society for Neuroscience. 2021.

• Xiao R, Malekmohammadi M, Pouratian N, Hu X. Characterization of pallidocortical motor network in Parkinson’s disease through complex network analysis. Duke Research Computing Symposium. 2020.

• Xiao R, Gadhoumi K, Ding C, Lee R, Hu X. SuperAlarm: a Machine Learning Approach to Predict in-Hospital Code Blue Events. Duke Research Computing Symposium. 2020.

• Nishiyori R, Xiao R, Vanderbilt D, Smith BA. Changes in relative power using EEG in preterm infants across the first months of life. Annual conference for the North American Society for the Psychology of Sport and Physical Activity. 2020.

• Lee R, Xiao R, Do D, Ding C, Hu X. Cross-Institutional Evaluation of SuperAlarm Algorithm for Predicting In-Hospital Code Blue Events. Machine Learning for Healthcare. 2020.

• Nishiyori R, Xiao R, Vanderbilt D, Smith BA. Changes in relative power using EEG in preterm infants across the first months of life. California Conference on Motor Behavior, Sport Exercise, and Exercise Psychology. 2020.

• Liu X, Gadhoumi K, Xiao R, Tran N, Smielewski P, Czosnyka m, Hetts SW, Ko N, Hu X. Pulse transit time can replace direct arterial pressure measurement in continuous monitoring of cerebrovascular reactivity, International Symposium on Intracranial Pressure and Neuromonitoring. 2019.

• Xiao R, King J, Villaroman A, Do DH, Boyle NG, Hu X. Predict In-Hospital Code Blue Events using Monitor Alarms through Deep Learning Approach, Conf Proc IEEE Eng Med Biol Soc, 2018:3717-20, 2018

• Xiao R, Xu Y, Pelter MM, Mortara DW, Hu X. A Deep Learning Approach to Examine Ischemic ST Changes in Ambulatory ECG Recordings. AMIA Informatics Summit, 2018:256-262, 2018.

• Xiao R, Xu Y, Pelter MM, Mortara DW, Hu X. Identification of Ischemic ST Changes through Deep Learning. International Society for Computerized Electrocardiology (ISCE) Annual Conference, 2018.

• Xiao R and Smith BA. Electroencephalography power in infants at risk for developmental delay across the first half year of life. Progress in Clinical Motor Control: Neurorehabilitation I, 2018.

• Xiao R and Smith BA. Electroencephalography coherence in infants at risk for developmental delay across the first half year of life. AACPDM 72nd Annual Meeting. 2018.

• Xiao R, Pouratian N, Malekmohammadi M and Hu X. Investigating Co-modulation of Subcortico-Cortical Motor Circuit in PD Patients through Network Analysis. UC Berkeley & UCSF Computational Health Science Symposium, 2017.

• Xiao R, Qi X, Fagg A, Kolobe T, Miller D and Ding L. Spectra of Infant EEG within the First Year of Life: A Pilot Study. Conf Proc IEEE Eng Med Biol Soc, 4753-4756, 2015.

• Xiao R and Ding L. Classification of finger pairs from one hand based on spectral features in human EEG. Conf Proc IEEE Eng Med Biol Soc, 1263-1266, 2014.

• Xiao R and Ding L. Decoding finger movements from one hand pairwise using EEG. Society for Neuroscience Annual Conference, 2013.

• Xiao R and Ding L. Decoding Individual Finger Movements using Noninvasive EEG. Fifth International Brain-Computer Interface Meeting, 2013.

• Xiao R, Liao K and Ding L. Discriminating multiple motor imageries of human hands using EEG. Conf Proc IEEE Eng Med Biol Soc, pp. 1773-76, 2012.