Journal
PEDIATRIC AND DEVELOPMENTAL PATHOLOGY
Volume 25, Issue 4, Pages 380-387Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/10935266211059809
Keywords
Artificial Intelligence; deep learning; digital pathology; pediatric pathology
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Artificial Intelligence (AI) in pathology is still in its early stages, but with the advancement of digital technology, digital pathology is expected to grow rapidly. Digital pathology allows annotation of large datasets and training of computers to develop algorithms, thus improving the efficiency and accuracy of pathology.
Artificial Intelligence (AI) has become of increasing interest over the past decade. While digital image analysis (DIA) is already being used in radiology, it is still in its infancy in pathology. One of the reasons is that large-scale digitization of glass slides has only recently become available. With the advent of digital slide scanners, that digitize glass slides into whole slide images, many labs are now in a transition phase towards digital pathology. However, only few departments worldwide are currently fully digital. Digital pathology provides the ability to annotate large datasets and train computers to develop and validate robust algorithms, similar to radiology. In this opinionated overview, we will give a brief introduction into AI in pathology, discuss the potential positive and negative implications and speculate about the future role of AI in the field of pediatric pathology.
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