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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. Among authors: nemani a. 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. Among authors: nemani a. Nat Med. 2020 Jun;26(6):886-891. doi: 10.1038/s41591-020-0870-z. Epub 2020 May 11. Nat Med. 2020. PMID: 32393799
An ECG-based machine learning model for predicting new-onset atrial fibrillation is superior to age and clinical features in identifying patients at high stroke risk.
Raghunath S, Pfeifer JM, Kelsey CR, Nemani A, Ruhl JA, Hartzel DN, Ulloa Cerna AE, Jing L, vanMaanen DP, Leader JB, Schneider G, Morland TB, Chen R, Zimmerman N, Fornwalt BK, Haggerty CM. Raghunath S, et al. Among authors: nemani a. J Electrocardiol. 2023 Jan-Feb;76:61-65. doi: 10.1016/j.jelectrocard.2022.11.001. Epub 2022 Nov 8. J Electrocardiol. 2023. PMID: 36436476 Free article.
Assessment of Surgical Tasks Using Neuroimaging Dataset (ASTaUND).
Kamat A, Eastmond C, Gao Y, Nemani A, Yanik E, Cavuoto L, Hackett M, Norfleet J, Schwaitzberg S, De S, Intes X. Kamat A, et al. Among authors: nemani a. Sci Data. 2023 Oct 14;10(1):699. doi: 10.1038/s41597-023-02603-3. Sci Data. 2023. PMID: 37838752 Free PMC article.
27 results