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人工智能在放射学中的应用:改善患者护理的必要生态系统。

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

机构信息

Department of Radiology, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10021, United States of America.

Department of Radiology, Grandview Medical Center, Birmingham, AL, United States of America.

出版信息

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

DOI:10.1016/j.clinimag.2019.08.001
PMID:31481284
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.

摘要

人工智能(AI)的迅速发展使其在多个行业得到广泛应用,包括医疗保健领域。人工智能具有变革性技术的潜力,将对患者护理产生重大影响。特别是,人工智能在放射学中具有广阔的应用前景,因为计算机在放射学中不可或缺,新技术的进步往往在临床实践中得到早期寻求和采用。我们介绍了常见术语的基本定义、成像领域中的人工智能生态系统的发展及其在缓解临床实践中实施挑战方面的价值。

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