APA (7th ed.) Citation

Yao, X., Rushlow, D. R., Inselman, J. W., McCoy, R. G., Thacher, T. D., Behnken, E. M., . . . Noseworthy, P. A. (2021). Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: A pragmatic, randomized clinical trial. Nature medicine, 27(5), 815-819. https://doi.org/10.1038/s41591-021-01335-4

Chicago Style (17th ed.) Citation

Yao, Xiaoxi, et al. "Artificial Intelligence–enabled Electrocardiograms for Identification of Patients with Low Ejection Fraction: A Pragmatic, Randomized Clinical Trial." Nature Medicine 27, no. 5 (2021): 815-819. https://doi.org/10.1038/s41591-021-01335-4.

MLA (9th ed.) Citation

Yao, Xiaoxi, et al. "Artificial Intelligence–enabled Electrocardiograms for Identification of Patients with Low Ejection Fraction: A Pragmatic, Randomized Clinical Trial." Nature Medicine, vol. 27, no. 5, 2021, pp. 815-819, https://doi.org/10.1038/s41591-021-01335-4.