Development of an artificial intelligence-based algorithm for the detection of left atrial enlargement from feline thoracic radiographs.

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Bibliographic Details
Title: Development of an artificial intelligence-based algorithm for the detection of left atrial enlargement from feline thoracic radiographs.
Authors: Valente C; Department of Animal Medicine, Production and Health, University of Padua, Padua, Italy., Wodzinski M; Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland.; Information Systems Institute, University of Applied Sciences - Western Switzerland (HES-SO Valais), Sierre, Switzerland., Guglielmini C; Department of Animal Medicine, Production and Health, University of Padua, Padua, Italy., Poser H; Department of Animal Medicine, Production and Health, University of Padua, Padua, Italy., Zotti A; Department of Animal Medicine, Production and Health, University of Padua, Padua, Italy., Mastromattei N; Department of Animal Medicine, Production and Health, University of Padua, Padua, Italy., Chiavegato D; AniCura Clinica Veterinaria Arcella, Padua, Italy., Venturini R; AniCura Clinica Veterinaria Arcella, Padua, Italy., Basran PS; Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA., Hsue W; Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA., Zhang Q; Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA., Banzato T; Department of Animal Medicine, Production and Health, University of Padua, Padua, Italy.
Source: The veterinary quarterly [Vet Q] 2026 Dec; Vol. 46 (1), pp. 2611847. Date of Electronic Publication: 2026 Jan 19.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Taylor & Francis Country of Publication: England NLM ID: 7909485 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1875-5941 (Electronic) Linking ISSN: 01652176 NLM ISO Abbreviation: Vet Q Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1875-5941
DOI:10.1080/01652176.2025.2611847