The Case for User-Centered Artificial Intelligence in Radiology

Radiol Artif Intell. 2020 May 13;2(3):e190095. doi: 10.1148/ryai.2020190095. eCollection 2020 May.

Abstract

Past technology transition successes and failures have demonstrated the importance of user-centered design and the science of human factors; these approaches will be critical to the success of artificial intelligence in radiology.

Publication types

  • Editorial