Journal article

Artificial intelligence in veterinary diagnostic imaging: Perspectives and limitations

Silvia Burti, Tommaso Banzato, Simon Coghlan, Marek Wodzinski, Margherita Bendazzoli, Alessandro Zotti

Research in Veterinary Science | Elsevier | Published : 2024

Open access

Abstract

The field of veterinary diagnostic imaging is undergoing significant transformation with the integration of artificial intelligence (AI) tools. This manuscript provides an overview of the current state and future prospects of AI in veterinary diagnostic imaging. The manuscript delves into various applications of AI across different imaging modalities, such as radiology, ultrasound, computed tomography, and magnetic resonance imaging. Examples of AI applications in each modality are provided, ranging from orthopaedics to internal medicine, cardiology, and more. Notable studies are discussed, demonstrating AI's potential for improved accuracy in detecting and classifying various abnormalities...

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University of Melbourne Researchers

Grants

Awarded by Mississippi Association Of Professional Surveyors


Funding Acknowledgements

The present paper is part of a project funded by a research grant from the Department of Animal Medicine, Production and Health - MAPS, University of Padua, Italy: SID- Banzato 2023 (20000; Development of an algorithm for the automatic classification and identification of the lesions on the radiographs of the thorax in dogs) .