Artificial Intelligence in Radiology: A Call for Thoughtful Application

Clin Transl Sci. 2020 Mar;13(2):216-218. doi: 10.1111/cts.12704. Epub 2019 Oct 30.

Authors

C Noelle Driver^{1

2}, Bradley S Bowles¹, Brian J Bartholmai³, Alexandra J Greenberg-Worisek⁴

Affiliations

¹ Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, Minnesota, USA.
² Alix School of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
³ Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
⁴ Center for Clinical and Translational Sciences, Mayo Clinic, Rochester, Minnesota, USA.

No abstract available

Publication types

Historical Article
Research Support, N.I.H., Extramural

MeSH terms

Artificial Intelligence / history
Artificial Intelligence / trends*
History, 19th Century
History, 20th Century
History, 21st Century
Patient Acceptance of Health Care / statistics & numerical data
Radiographic Image Interpretation, Computer-Assisted*
Radiology / history
Radiology / methods
Radiology / statistics & numerical data
Radiology / trends*
Software

Grants and funding