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Artificial Intelligence Applications in Cytopathology: Current State of the Art.

Authors :
Vaickus LJ
Kerr DA
Velez Torres JM
Levy J
Source :
Surgical pathology clinics [Surg Pathol Clin] 2024 Sep; Vol. 17 (3), pp. 521-531. Date of Electronic Publication: 2024 May 30.
Publication Year :
2024

Abstract

The practice of cytopathology has been significantly refined in recent years, largely through the creation of consensus rule sets for the diagnosis of particular specimens (Bethesda, Milan, Paris, and so forth). In general, these diagnostic systems have focused on reducing intraobserver variance, removing nebulous/redundant categories, reducing the use of "atypical" diagnoses, and promoting the use of quantitative scoring systems while providing a uniform language to communicate these results. Computational pathology is a natural offshoot of this process in that it promises 100% reproducible diagnoses rendered by quantitative processes that are free from many of the biases of human practitioners.<br />Competing Interests: Disclosure Nothing to disclose.<br /> (Copyright © 2024 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1875-9157
Volume :
17
Issue :
3
Database :
MEDLINE
Journal :
Surgical pathology clinics
Publication Type :
Academic Journal
Accession number :
39129146
Full Text :
https://doi.org/10.1016/j.path.2024.04.011