Artificial intelligence and radiology: two worlds called to understand each other

被引:0
|
作者
Diaz, Oliver [1 ,2 ]
机构
[1] Univ Barcelona, Dept Matemat & Informat, Barcelona, Spain
[2] Comp Vis Ctr, Barcelona, Spain
来源
IMAGEN DIAGNOSTICA | 2023年 / 14卷 / 02期
关键词
Artificial intelligence; Medical imaging; Medicine; Radiology; Trustworthy AI;
D O I
暂无
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Radiology and artificial intelligence (AI) are two fields that were born in different centuries, but in recent years they have complemented each other in an extraordinary way for the benefit of patients and healthcare professionals. This article highlights the transformation of radiology thanks to data digitisation and the crucial role of AI in the analysis and diagnosis of medical images. Various AI concepts are described, as well as specific applications of AI in radiology, such as lesion detection and segmentation, image classification, and treatment prediction. The limitations and ethical risks associated with the use of AI algorithms in the medical imaging field are also addressed, and the importance of following ethical and safety guidelines is emphasised. The article presents a comprehensive view on the convergence of radiology and AI, highlighting its transformative impact on the future of medicine and encouraging active participation in this technological revolution.
引用
收藏
页码:37 / 42
页数:6
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