Abstract
Artificial intelligence (AI) offers significant potential to enhance veterinary care. This chapter explores practical applications of AI in thoracic radiology. It outlines key benefits AI could provide, including reducing errors and costs as well as enabling faster assessments, as well as barriers to the adoption of AI. The unique complexities of interpreting thoracic radiographs are discussed, emphasizing the challenges involved in developing reliable AI solutions for this domain. Current capabilities of veterinary AI software are described, demonstrating functionality to automatically detect abnormalities. Finally, future trends are considered, predicting the emergence of AI-driven decision support beyond human perceptual limitations that will enable superior predictive health analysis.
Original language | English |
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Title of host publication | BSAVA manual of canine and feline thoracic imaging- second edition |
Chapter | 6 |
Pages | 97-101 |
ISBN (Electronic) | 978-1-910443-93-4 |
DOIs | |
Publication status | Published - 21 Mar 2024 |