The future of radiology: What if artificial intelligence is really as good as predicted?

Affiliations

¹ The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA. Electronic address: srowe8@jhmi.edu.
² Department of Radiology, Hôpital Cochin, Assistance Publique-Hopitaux de Paris, 75014 Paris, France; Université Paris Centre, 75006, Paris, France.
³ The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.

Free article

Editorial

Steven P Rowe et al. Diagn Interv Imaging. 2022 Sep.

Free article

. 2022 Sep;103(9):385-386.

doi: 10.1016/j.diii.2022.04.006. Epub 2022 May 13.

¹ The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA. Electronic address: srowe8@jhmi.edu.
² Department of Radiology, Hôpital Cochin, Assistance Publique-Hopitaux de Paris, 75014 Paris, France; Université Paris Centre, 75006, Paris, France.
³ The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.

No abstract available

Keywords: Artificial intelligence; Radiology; Workflow.

Comment in

Does artificial intelligence surpass the radiologist?
Soyer P, Fishman EK, Rowe SP, Patlas MN, Chassagnon G. Soyer P, et al. Diagn Interv Imaging. 2022 Oct;103(10):445-447. doi: 10.1016/j.diii.2022.08.001. Epub 2022 Aug 13. Diagn Interv Imaging. 2022. PMID: 35973913 No abstract available.