Artificial Intelligence in Radiology: Current Technology and Future Directions

Ali B. Syed; Adam C. Zoga

doi:10.1055/s-0038-1673383

Seminars in Musculoskeletal Radiology, Table of Contents

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

¹Divison 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

¹Divison of Musculoskeletal Imaging and Intervention, Department of Radiology, Thomas Jefferson University Hospital, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania

› Author Affiliations

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.

Keywords

artificial intelligence - machine learning - deep learning - radiology - informatics

Full Text

References

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