RS, L., KS, M., S, M., L, T., A, A., R, G., . . . GA, B. (2026). Leveraging artificial intelligence to decipher gynecologic cytopathology reports: Insights from an exploratory study for possible use in patient portals. Cancer cytopathology, 134(3), e70077. https://doi.org/10.1002/cncy.70077
Chicago Style (17th ed.) CitationRS, Lichtenberg, Mon KS, Mehrotra S, Trabzonlu L, Aragao A, Gordezky R, Akdas Y, and Barkan GA. "Leveraging Artificial Intelligence to Decipher Gynecologic Cytopathology Reports: Insights from an Exploratory Study for Possible Use in Patient Portals." Cancer Cytopathology 134, no. 3 (2026): e70077. https://doi.org/10.1002/cncy.70077.
MLA (9th ed.) CitationRS, Lichtenberg, et al. "Leveraging Artificial Intelligence to Decipher Gynecologic Cytopathology Reports: Insights from an Exploratory Study for Possible Use in Patient Portals." Cancer Cytopathology, vol. 134, no. 3, 2026, p. e70077, https://doi.org/10.1002/cncy.70077.