Peer-Reviewed Publication
J Vet Intern Med2026;40(4)July 1, 2026Journal Article

Lung ultrasound interpretation using deep learning for the detection of B-lines in dogs.

Jessica L Ward1, Blake VanBerlo2, Benjamin Huggard2, Delaney Smith2, Robert Arntfield2,3
1Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, United States.
2Deep Breathe, London, ON N6A 1B8, Canada.
3Division of Critical Care Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5W9, Canada.

Abstract

BACKGROUND: Deep learning (DL) shows promise for interpretation of lung ultrasound (LUS) images in humans, but its performance in animals remains underexplored. HYPOTHESIS/OBJECTIVES: Assess performance of a B-line detection algorithm (BLDA) trained on LUS images from humans when applied to images from dogs. ANIMALS: A total of 1,950 clips collected from 201 LUS examinations in 90 dogs across 4…

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