Artificial Intelligence in Pathology
Author(s) -
Sebastian Försch,
Frederick Klauschen,
Peter Hufnagl,
Wilfried Roth
Publication year - 2021
Publication title -
deutsches ärzteblatt international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.436
H-Index - 60
ISSN - 1866-0452
DOI - 10.3238/arztebl.m2021.0011
Subject(s) - pathology , medicine
Increasing digitalization enables the use of artificial intelligence (AI) and machine learning in pathology. However, these technologies have only just begun to be implemented, and no randomized prospective trials have yet shown a benefit of AI-based diagnosis. In this review, we present current concepts, illustrate them with examples from representative publications, and discuss the possibilities and limitations of their use.
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