Point-of-care platform integrated with deep-learning, convolutional neural network algorithms effectively evaluates canine and feline peripheral blood smears.

Eric Morissette¹, Cory D Penn¹, Ruth A Hall Sedlak², Austin J Rhodes², Dan S Tippetts³, Mike Loenser¹, Richard Goldstein¹

¹Global Diagnostics, Zoetis Inc, Parsippany, NJ.

²Veterinary Medicine, Research and Development, Zoetis Inc, Kalamazoo, MI.

³Techcyte, West Orem, UT.

PubMed DOI

Abstract

OBJECTIVE: To perform a diagnostic assessment of a point-of-care veterinary multiuse platform integrated with a model comprised of deep-learning, convolutional neural network algorithms for evaluating canine/feline peripheral blood smears compared to board-certified clinical pathologists (CPs). METHODS: This study had a blinded, randomized, incomplete block design, and results were compared betwe…

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