Bouhali Othmane, Bensmail Halima, Sheharyar Ali, David Florent, Johnson Jessica P
High Energy and Medical Physics Group, Department of Engineering, Education City, Texas A&M University at Qatar, Doha P.O. Box 23874, Qatar.
Qatar Computing Research Institute, Department of Sciences, Education City, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar.
Vet Sci. 2022 Nov 8;9(11):620. doi: 10.3390/vetsci9110620.
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.
在人类医疗保健领域，放射组学和人工智能（AI）在从医院管理、虚拟助手到远程患者监测以及医学诊断和成像等各个领域的应用取得了巨大进展。为了提高准确性和可重复性，最近出现了将放射组学和人工智能整合为辅助临床决策的工具，并将其纳入常规临床工作流程和诊断中的趋势。尽管在兽医医学方面滞后，但随着报告的应用数量不断增加，放射组学和人工智能在兽医诊断成像中的应用越来越频繁。本文的目的是概述放射组学和人工智能在兽医诊断成像中的当前应用情况。
