Sonographic machine-assisted recognition and tracking of B-lines in dogs: the SMARTDOG study
The AI algorithm demonstrated excellent agreement with experienced operators both for precise B-line counting and for the classification of pathological lung patterns. These findings support the potential of AI as a valuable decision-support tool for detecting clinically relevant cardiogenic pulmonary edema in veterinary critical care.
Authors
- Maxime Cambournac (ORCID: https://orcid.org/0000-0003-3522-2255)
- Aurélie Jourdan
- Caroline Dania
Institutions
- Centre Hospitalier Vétérinaire Frégis (FR)
- Informatique Electromagnetisme Electronique Analyse Numerique (France) (FR)
Publication Details
- Journal
- Frontiers in Veterinary Science
- Published
- 2025-08-08
- DOI
- https://doi.org/10.3389/fvets.2025.1647547
- Citations
- 1
- Primary Topic
- Ultrasound in Clinical Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.55