Practical applications of artificial intelligence in thoracic radiology

Neil Shaw, Ben van Klinken, Tobias Schwarz

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract / Description of output

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 languageEnglish
Title of host publicationBSAVA manual of canine and feline thoracic imaging- second edition
ISBN (Electronic)978-1-910443-93-4
Publication statusPublished - 21 Mar 2024

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