Ethical considerations in artificial intelligence

Nabile M Safdar; John D Banja; Carolyn C Meltzer

doi:10.1016/j.ejrad.2019.108768

Ethical considerations in artificial intelligence

Eur J Radiol. 2020 Jan:122:108768. doi: 10.1016/j.ejrad.2019.108768. Epub 2019 Nov 23.

Authors

Nabile M Safdar¹, John D Banja², Carolyn C Meltzer³

Affiliations

¹ Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia; Department of Biomedical Informatics, Emory University, Atlanta, Georgia.
² Department of Rehabilitation Medicine, Emory University, Atlanta, Georgia; Center for Ethics, Emory University, Atlanta, Georgia.
³ Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia; Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, Georgia; Department of Neurology, Emory University, Atlanta, Georgia. Electronic address: cmeltze@emory.edu.

PMID: 31786504
DOI: 10.1016/j.ejrad.2019.108768

Abstract

With artificial intelligence (AI) precipitously perched at the apex of the hype curve, the promise of transforming the disparate fields of healthcare, finance, journalism, and security and law enforcement, among others, is enormous. For healthcare - particularly radiology - AI is anticipated to facilitate improved diagnostics, workflow, and therapeutic planning and monitoring. And, while it is also causing some trepidation among radiologists regarding its uncertain impact on the demand and training of our current and future workforce, most of us welcome the potential to harness AI for transformative improvements in our ability to diagnose disease more accurately and earlier in the populations we serve.

Keywords: Artificial intelligence; Ethics; Machine learning; Radiology.

Publication types

Review

MeSH terms

Artificial Intelligence / ethics*
Forecasting
Humans
Radiologists / ethics
Radiology / ethics*
Radiology / trends
Workflow