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Editorial
. 2020 Jan;59(1):A3-A6.
doi: 10.1016/j.clinimag.2019.08.001. Epub 2019 Aug 31.

Artificial intelligence in radiology: the ecosystem essential to improving patient care

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Editorial

Artificial intelligence in radiology: the ecosystem essential to improving patient care

Julie Sogani et al. Clin Imaging. 2020 Jan.

Abstract

The rapid development of artificial intelligence (AI) has led to its widespread use in multiple industries, including healthcare. AI has the potential to be a transformative technology that will significantly impact patient care. Particularly, AI has a promising role in radiology, in which computers are indispensable and new technological advances are often sought out and adopted early in clinical practice. We present an overview of the basic definitions of common terms, the development of an AI ecosystem in imaging and its value in mitigating the challenges of implementation in clinical practice.

Keywords: Radiology artificial intelligence machine learning.

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