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Cited by in F6Publishing
For: Farnell DA, Huntsman D, Bashashati A. The coming 15 years in gynaecological pathology: digitisation, artificial intelligence, and new technologies. Histopathology 2020;76:171-7. [PMID: 31846526 DOI: 10.1111/his.13991] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Parwani AV, Amin MB. Convergence of Digital Pathology and Artificial Intelligence Tools in Anatomic Pathology Practice: Current Landscape and Future Directions. Adv Anat Pathol 2020;27:221-6. [PMID: 32541593 DOI: 10.1097/PAP.0000000000000271] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
2 Boschman J, Farahani H, Darbandsari A, Ahmadvand P, Van Spankeren A, Farnell D, Levine AB, Naso JR, Churg A, Jones SJ, Yip S, Köbel M, Huntsman DG, Gilks CB, Bashashati A. The utility of color normalization for AI-based diagnosis of hematoxylin and eosin-stained pathology images. J Pathol 2021. [PMID: 34543435 DOI: 10.1002/path.5797] [Reference Citation Analysis]
3 Cui M, Zhang DY. Artificial intelligence and computational pathology. Lab Invest 2021;101:412-22. [PMID: 33454724 DOI: 10.1038/s41374-020-00514-0] [Cited by in Crossref: 12] [Cited by in F6Publishing: 7] [Article Influence: 12.0] [Reference Citation Analysis]
4 Ahmad Z, Rahim S, Zubair M, Abdul-Ghafar J. Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: present and future impact, obstacles including costs and acceptance among pathologists, practical and philosophical considerations. A comprehensive review. Diagn Pathol 2021;16:24. [PMID: 33731170 DOI: 10.1186/s13000-021-01085-4] [Cited by in F6Publishing: 1] [Reference Citation Analysis]