Semin Musculoskelet Radiol 2018; 22(05): 540-545
DOI: 10.1055/s-0038-1673383
Review Article
Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Artificial Intelligence in Radiology: Current Technology and Future Directions

Ali B. Syed
1  Divison of Musculoskeletal Imaging and Intervention, Department of Radiology, Thomas Jefferson University Hospital, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania
,
Adam C. Zoga
1  Divison of Musculoskeletal Imaging and Intervention, Department of Radiology, Thomas Jefferson University Hospital, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania
› Author Affiliations
Further Information

Publication History

Publication Date:
06 November 2018 (online)

Abstract

Artificial intelligence (AI) has been heralded as the next big wave in the computing revolution and touted as a transformative technology for many industries including health care. In radiology, considerable excitement and anxiety are associated with the promise of AI and its potential to disrupt the practice of the radiologist. Radiology has often served as the gateway for medical technological advancements, and AI will likely be no different. We present a brief overview of AI advancements that have driven recent interest, offer a review of the current literature, and examine the most likely ways that AI will change radiology in the coming years.