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Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke.
Raghunath S, Pfeifer JM, Ulloa-Cerna AE, Nemani A, Carbonati T, Jing L, vanMaanen DP, Hartzel DN, Ruhl JA, Lagerman BF, Rocha DB, Stoudt NJ, Schneider G, Johnson KW, Zimmerman N, Leader JB, Kirchner HL, Griessenauer CJ, Hafez A, Good CW, Fornwalt BK, Haggerty CM. Raghunath S, et al. Circulation. 2021 Mar 30;143(13):1287-1298. doi: 10.1161/CIRCULATIONAHA.120.047829. Epub 2021 Feb 16. Circulation. 2021. PMID: 33588584 Free PMC article.
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network.
Raghunath S, Ulloa Cerna AE, Jing L, vanMaanen DP, Stough J, Hartzel DN, Leader JB, Kirchner HL, Stumpe MC, Hafez A, Nemani A, Carbonati T, Johnson KW, Young K, Good CW, Pfeifer JM, Patel AA, Delisle BP, Alsaid A, Beer D, Haggerty CM, Fornwalt BK. Raghunath S, et al. Nat Med. 2020 Jun;26(6):886-891. doi: 10.1038/s41591-020-0870-z. Epub 2020 May 11. Nat Med. 2020. PMID: 32393799
rECHOmmend: An ECG-Based Machine Learning Approach for Identifying Patients at Increased Risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography.
Ulloa-Cerna AE, Jing L, Pfeifer JM, Raghunath S, Ruhl JA, Rocha DB, Leader JB, Zimmerman N, Lee G, Steinhubl SR, Good CW, Haggerty CM, Fornwalt BK, Chen R. Ulloa-Cerna AE, et al. Among authors: raghunath s. Circulation. 2022 Jul 5;146(1):36-47. doi: 10.1161/CIRCULATIONAHA.121.057869. Epub 2022 May 9. Circulation. 2022. PMID: 35533093 Free PMC article.
Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality.
Ulloa Cerna AE, Jing L, Good CW, vanMaanen DP, Raghunath S, Suever JD, Nevius CD, Wehner GJ, Hartzel DN, Leader JB, Alsaid A, Patel AA, Kirchner HL, Pfeifer JM, Carry BJ, Pattichis MS, Haggerty CM, Fornwalt BK. Ulloa Cerna AE, et al. Among authors: raghunath s. Nat Biomed Eng. 2021 Jun;5(6):546-554. doi: 10.1038/s41551-020-00667-9. Epub 2021 Feb 8. Nat Biomed Eng. 2021. PMID: 33558735
Prevalence and Electronic Health Record-Based Phenotype of Loss-of-Function Genetic Variants in Arrhythmogenic Right Ventricular Cardiomyopathy-Associated Genes.
Carruth ED, Young W, Beer D, James CA, Calkins H, Jing L, Raghunath S, Hartzel DN, Leader JB, Kirchner HL, Smelser DT, Carey DJ, Kelly MA, Sturm AC, Alsaid A, Fornwalt BK, Haggerty CM. Carruth ED, et al. Among authors: raghunath s. Circ Genom Precis Med. 2019 Nov;12(11):e002579. doi: 10.1161/CIRCGEN.119.002579. Epub 2019 Oct 22. Circ Genom Precis Med. 2019. PMID: 31638835 Free PMC article.
A Machine Learning Approach to Management of Heart Failure Populations.
Jing L, Ulloa Cerna AE, Good CW, Sauers NM, Schneider G, Hartzel DN, Leader JB, Kirchner HL, Hu Y, Riviello DM, Stough JV, Gazes S, Haggerty A, Raghunath S, Carry BJ, Haggerty CM, Fornwalt BK. Jing L, et al. Among authors: raghunath s. JACC Heart Fail. 2020 Jul;8(7):578-587. doi: 10.1016/j.jchf.2020.01.012. Epub 2020 May 6. JACC Heart Fail. 2020. PMID: 32387064 Free article.
Quantitative computed tomography imaging of interstitial lung diseases.
Bartholmai BJ, Raghunath S, Karwoski RA, Moua T, Rajagopalan S, Maldonado F, Decker PA, Robb RA. Bartholmai BJ, et al. Among authors: raghunath s. J Thorac Imaging. 2013 Sep;28(5):298-307. doi: 10.1097/RTI.0b013e3182a21969. J Thorac Imaging. 2013. PMID: 23966094 Free PMC article.
82 results