APA (7th ed.) Citation

Li, D., Lin, C. T., Sulam, J., & Yi, P. H. (2022). Deep learning prediction of sex on chest radiographs: A potential contributor to biased algorithms. Emergency radiology, 29(2), 365-370. https://doi.org/10.1007/s10140-022-02019-3

Chicago Style (17th ed.) Citation

Li, David, Cheng Ting Lin, Jeremias Sulam, and Paul H. Yi. "Deep Learning Prediction of Sex on Chest Radiographs: A Potential Contributor to Biased Algorithms." Emergency Radiology 29, no. 2 (2022): 365-370. https://doi.org/10.1007/s10140-022-02019-3.

MLA (9th ed.) Citation

Li, David, et al. "Deep Learning Prediction of Sex on Chest Radiographs: A Potential Contributor to Biased Algorithms." Emergency Radiology, vol. 29, no. 2, 2022, pp. 365-370, https://doi.org/10.1007/s10140-022-02019-3.