从数据到价值：人工智能如何助力放射学业务创造价值。
From Data to Value: How Artificial Intelligence Augments the Radiology Business to Create Value.
作者信息
Martin-Carreras Teresa, Chen Po-Hao
机构信息
Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Imaging Informatics Section, Imaging Institute, Cleveland Clinic, Cleveland, Ohio.
出版信息
Semin Musculoskelet Radiol. 2020 Feb;24(1):65-73. doi: 10.1055/s-0039-3400269. Epub 2020 Jan 28.
The radiology practice has access to a wealth of data in the radiologist information system, dictation reports, and electronic health records. Although many artificial intelligence applications in radiology have focused on computer vision and the interpretive use cases, many opportunities exist to enhance the radiologist's value proposition through business analytics. This article explores how AI lends an analytical lens to the radiology practice to create value.
放射科在放射科医生信息系统、听写报告和电子健康记录中可以获取大量数据。尽管放射学中的许多人工智能应用都集中在计算机视觉和解读用例上，但通过商业分析来提升放射科医生的价值主张仍有很多机会。本文探讨了人工智能如何为放射科实践提供分析视角以创造价值。
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