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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: morland tb. 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.
A prospective study of loss of consciousness in epilepsy using virtual reality driving simulation and other video games.
Yang L, Morland TB, Schmits K, Rawson E, Narasimhan P, Motelow JE, Purcaro MJ, Peng K, Raouf S, Desalvo MN, Oh T, Wilkerson J, Bod J, Srinivasan A, Kurashvili P, Anaya J, Manza P, Danielson N, Ransom CB, Huh L, Elrich S, Padin-Rosado J, Naidu Y, Detyniecki K, Hamid H, Farooque P, Astur R, Xiao B, Duckrow RB, Blumenfeld H. Yang L, et al. Among authors: morland tb. Epilepsy Behav. 2010 Jul;18(3):238-46. doi: 10.1016/j.yebeh.2010.04.011. Epilepsy Behav. 2010. PMID: 20537593 Free PMC article.