Comparative evaluation of artificial intelligence-based and pathologist scoring of murine bile duct hyperplasia.

Ingeborg M Langohr¹, Dev Kumar Das², Dayananda Siddappa¹, Nathan Pate^1,3, Kuldeep Gautam², Sanjit Jha², Rajesh Ugalmugle², Tijo Thomas², Uttara Joshi², Srinivas Rao¹, Dinesh S Bangari¹

¹Sanofi Global Discovery Pathology and Multimodal Imaging, Translational Models Therapeutics Discovery, Cambridge, MA, USA.

²AIRA Matrix, Mumbai, India.

³Charles River Laboratories, Reno, NV, USA.

PubMed DOI

Abstract

Bile duct hyperplasia in rodents, caused by chemical cytotoxicity, bile flow interference, or aging, is traditionally assessed through time-consuming microscopic examination by pathologists. We developed a deep learning-based, artificial intelligence (AI) model for quick and accurate assessment of bile duct hyperplasia in mice. The study utilized 127 hematoxylin and eosin-stained, mouse liver whol…

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