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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...

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Autores principales: Bouhali, Othmane, Bensmail, Halima, Sheharyar, Ali, David, Florent, Johnson, Jessica P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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