Full text loading...
Practical applications of artificial intelligence in thoracic radiology
- Authors: Neil Shaw, Ben van Klinken and Tobias Schwarz
- From: BSAVA Manual of Canine and Feline Thoracic Imaging
- Item: Chapter 6, pp 97 - 101
- DOI: 10.22233/9781910443941.6
- Copyright: © 2024 British Small Animal Veterinary Association
- Publication Date: January 2024
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.
Practical applications of artificial intelligence in thoracic radiology, Page 1 of 1
< Previous page | Next page > /docserver/preview/fulltext/10.22233/9781910443941/BSAVA_Manual_Canine_Feline_Thoracic_Imaging_5_9781910443941.6.97-101-1.gif