Tools
Tools
Owens, A., Vinkemeier, D. 
ORCID: 0000-0001-8767-4355 and Elsheikha, H.,
2023.
A review of applications of artificial intelligence in veterinary medicine.
Companion Animal, 28 (6), pp. 78-85.
ISSN 2053-0897
|
Text
1849479_Vinkemeier.pdf - Post-print Download (127kB) | Preview |
Abstract
Artificial intelligence is a newer concept in veterinary medicine than human medicine, but its existing benefits illustrate the significant potential it may also have in this field. This article reviews the application of artificial intelligence to various fields of veterinary medicine. Successful integration of different artificial intelligence strategies can offer practical solutions to issues, such as time pressure, in practice. Several databases were searched to identify literature on the application of artificial intelligence in veterinary medicine. Exclusion and inclusion criteria were applied to obtain relevant papers. There was evidence for an acceleration of artificial intelligence research in recent years, particularly for diagnostics and imaging. Some of the benefits of using artificial intelligence included standardisation, increased efficiency, and a reduction in the need for expertise in particular fields. However, limitations identified in the literature included a requirement for ideal situations for artificial intelligence to achieve accuracy and other inherent, unresolved issues. Ethical considerations and a hesitancy to engage with artificial intelligence, by both the public and veterinarians, are further barriers that must be addressed for artificial intelligence to be fully integrated in daily practice. The rapid growth in artificial intelligence research substantiates its potential to improve veterinary practice.
| Item Type: | Journal article | ||||||
|---|---|---|---|---|---|---|---|
| Publication Title: | Companion Animal | ||||||
| Creators: | Owens, A., Vinkemeier, D. and Elsheikha, H. | ||||||
| Publisher: | Mark Allen Group | ||||||
| Date: | June 2023 | ||||||
| Volume: | 28 | ||||||
| Number: | 6 | ||||||
| ISSN: | 2053-0897 | ||||||
| Identifiers: |
|
||||||
| Rights: | © MA Healthcare Limited This document is the Accepted Manuscript version of a Published Work that appeared in final form in Companion Animal, copyright © MA Healthcare, after peer review and technical editing by the publisher. To access the final edited and published work see https://www.magonlinelibrary.com/doi/full/10.12968/coan.2022.0028a | ||||||
| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Jeremy Silvester | ||||||
| Date Added: | 05 Jan 2024 09:40 | ||||||
| Last Modified: | 05 Jan 2024 09:40 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/50627 |
Actions (login required)
 |
Edit View |
Views
Views per month over past year
Downloads
Downloads per month over past year
