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A Review of Radiomics and Artificial Intelligence and Their Application in Veterinary Diagnostic Imaging
SIMPLE SUMMARY: The goal of this paper is to provide an overview of current radiomic and AI applications in veterinary diagnostic imaging. We discuss the essential elements of AI for veterinary practitioners with the aim of helping them make informed decisions in applying AI technologies to their pr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693121/ https://www.ncbi.nlm.nih.gov/pubmed/36356097 http://dx.doi.org/10.3390/vetsci9110620 |
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author | Bouhali, Othmane Bensmail, Halima Sheharyar, Ali David, Florent Johnson, Jessica P. |
author_facet | Bouhali, Othmane Bensmail, Halima Sheharyar, Ali David, Florent Johnson, Jessica P. |
author_sort | Bouhali, Othmane |
collection | PubMed |
description | SIMPLE SUMMARY: The goal of this paper is to provide an overview of current radiomic and AI applications in veterinary diagnostic imaging. We discuss the essential elements of AI for veterinary practitioners with the aim of helping them make informed decisions in applying AI technologies to their practices and that veterinarians will play an integral role in ensuring the appropriate uses and suitable curation of data. The expertise of veterinary professionals will be vital to ensuring suitable data and, subsequently, AI that meets the needs of the profession. ABSTRACT: Great advances have been made in human health care in the application of radiomics and artificial intelligence (AI) in a variety of areas, ranging from hospital management and virtual assistants to remote patient monitoring and medical diagnostics and imaging. To improve accuracy and reproducibility, there has been a recent move to integrate radiomics and AI as tools to assist clinical decision making and to incorporate it into routine clinical workflows and diagnosis. Although lagging behind human medicine, the use of radiomics and AI in veterinary diagnostic imaging is becoming more frequent with an increasing number of reported applications. The goal of this paper is to provide an overview of current radiomic and AI applications in veterinary diagnostic imaging. |
format | Online Article Text |
id | pubmed-9693121 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96931212022-11-26 A Review of Radiomics and Artificial Intelligence and Their Application in Veterinary Diagnostic Imaging Bouhali, Othmane Bensmail, Halima Sheharyar, Ali David, Florent Johnson, Jessica P. Vet Sci Review SIMPLE SUMMARY: The goal of this paper is to provide an overview of current radiomic and AI applications in veterinary diagnostic imaging. We discuss the essential elements of AI for veterinary practitioners with the aim of helping them make informed decisions in applying AI technologies to their practices and that veterinarians will play an integral role in ensuring the appropriate uses and suitable curation of data. The expertise of veterinary professionals will be vital to ensuring suitable data and, subsequently, AI that meets the needs of the profession. ABSTRACT: Great advances have been made in human health care in the application of radiomics and artificial intelligence (AI) in a variety of areas, ranging from hospital management and virtual assistants to remote patient monitoring and medical diagnostics and imaging. To improve accuracy and reproducibility, there has been a recent move to integrate radiomics and AI as tools to assist clinical decision making and to incorporate it into routine clinical workflows and diagnosis. Although lagging behind human medicine, the use of radiomics and AI in veterinary diagnostic imaging is becoming more frequent with an increasing number of reported applications. The goal of this paper is to provide an overview of current radiomic and AI applications in veterinary diagnostic imaging. MDPI 2022-11-08 /pmc/articles/PMC9693121/ /pubmed/36356097 http://dx.doi.org/10.3390/vetsci9110620 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Bouhali, Othmane Bensmail, Halima Sheharyar, Ali David, Florent Johnson, Jessica P. A Review of Radiomics and Artificial Intelligence and Their Application in Veterinary Diagnostic Imaging |
title | A Review of Radiomics and Artificial Intelligence and Their Application in Veterinary Diagnostic Imaging |
title_full | A Review of Radiomics and Artificial Intelligence and Their Application in Veterinary Diagnostic Imaging |
title_fullStr | A Review of Radiomics and Artificial Intelligence and Their Application in Veterinary Diagnostic Imaging |
title_full_unstemmed | A Review of Radiomics and Artificial Intelligence and Their Application in Veterinary Diagnostic Imaging |
title_short | A Review of Radiomics and Artificial Intelligence and Their Application in Veterinary Diagnostic Imaging |
title_sort | review of radiomics and artificial intelligence and their application in veterinary diagnostic imaging |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693121/ https://www.ncbi.nlm.nih.gov/pubmed/36356097 http://dx.doi.org/10.3390/vetsci9110620 |
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