The current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force

Kim, D., Thrall, M. J., Michelow, P., Schmitt, F. C., Vielh, P. R., Siddiqui, M. T., Sundling, K. E., Virk, R., Alperstein, S., Bui, M. M., Chen-Yost, H., Donnelly, A. D., Lin, O., Liu, X., Madrigal, E., Zakowski, M. F., Parwani, A. V., Jenkins, E., Pantanowitz, L., & Li, Z. (2024). The current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force. Journal of the American Society of Cytopathology, 13(5), 319–328. https://doi.org/10.1016/j.jasc.2024.04.003
Authors:
David Kim
Michael J. Thrall
Pamela Michelow
Fernando C. Schmitt
Philippe R. Vielh
Momin T. Siddiqui
Kaitlin E. Sundling
Renu Virk
Susan Alperstein
Marilyn M. Bui
Heather Chen-Yost
Amber D. Donnelly
Oscar Lin
Xiaoying Liu
Emilio Madrigal
Maureen F. Zakowski
Anil V. Parwani
Elizabeth Jenkins
Liron Pantanowitz
Zaibo Li
Affiliated Authors:
Momin T. Siddiqui
Renu Virk
Susan Alperstein
Author Keywords:
artificial intelligence
cytology
digital cytology
digital pathology
survey
whole slide imaging
Publication Type:
Article
Unique ID:
10.1016/j.jasc.2024.04.003
PMID:
Publication Date:
Data Source:
Scopus

Record Created: