Journal of Toxicologic Pathology
Online ISSN : 1881-915X
Print ISSN : 0914-9198
ISSN-L : 0914-9198
Report of the AI Pathology Task Force, Non-clinical Evaluation Expert Committee, Japan Pharmaceutical Manufacturers Association: An overview of recent publications about AI pathology
Emi TOMIKAWASatoshi SAKAIYoshinori YAMAGIWAYumi KANGAWAYusuke KAGAWAYuki KATOKensuke KOJIMAAkira INOMATAIzumi MATSUMOTOGen SATOMutsumi SUZUKI
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JOURNAL OPEN ACCESS Advance online publication

Article ID: 2024-0100

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Abstract

The use of artificial intelligence (AI) in non-clinical pathology is rapidly expanding. In this study, we conducted a literature survey of articles published after 2017 that used AI to analyze the histopathological images of experimental animals. We identified 44 articles that used AI for various purposes, including the detection of abnormal sites, determination and quantification of normal tissues, and classification of normal/abnormal images. AI systems or applications were either custom-built, commercially available, or a combination of both. Rats and mice were mainly used, and the liver was the most frequently analyzed organ. Our findings suggest that AI can be useful in non-clinical pathology and that collaboration between pharmaceutical companies or cooperation with IT experts can be a potential approach to further advance the utilization of AI in this field.

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© 2025 The Japanese Society of Toxicologic Pathology
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