A Review of Radiomics and Artificial Intelligence and Their Application in Veterinary Diagnostic Imaging

被引:6
|
作者
Bouhali, Othmane [1 ]
Bensmail, Halima [2 ]
Sheharyar, Ali [1 ]
David, Florent [3 ]
Johnson, Jessica P. [3 ]
机构
[1] Texas A&M Univ Qatar, Dept Engn, High Energy & Med Phys Grp, POB 23874, Doha, Qatar
[2] Hamad Bin Khalifa Univ, Educ City, Dept Sci, Qatar Comp Res Inst, POB 34110, Doha, Qatar
[3] Qatar Fdn, Equine Vet Med Ctr, Al Shaqab St,POB 6788, Doha, Qatar
关键词
radiomics; artificial intelligence; veterinary medicine; diagnostic imaging; NEURAL-NETWORK; VARIABLE SELECTION; SEGMENTATION; RECOGNITION; FEATURES; SYSTEM; IMAGES; MODEL; LASSO;
D O I
10.3390/vetsci9110620
中图分类号
S85 [动物医学(兽医学)];
学科分类号
0906 ;
摘要
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. 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.
引用
收藏
页数:14
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