Published October 2020 | Version Published
Journal Article Open

The Potential Dangers of Artificial Intelligence for Radiology and Radiologists

  • 1. ROR icon Johns Hopkins University
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon Nvidia (United States)

Abstract

With the advent of artificial intelligence (AI) across many fields and subspecialties, there are considerable expectations for transformative impact. However, there are also concerns regarding the potential abuse of AI. Many scientists have been worried about the dangers of AI leading to "biased" conclusions, in part because of the enthusiasm of the inventor or overenthusiasm among the general public. Here, though, we consider some scenarios in which people may intend to cause potential errors within data sets of analyzed information, resulting in incorrect conclusions and leading to potential problems with patient care and outcomes.

Additional Information

© 2020 American College of Radiology. Available online 17 April 2020. The authors thank senior science editor Edmund Weisberg, MS, MBE, for his editorial assistance. The authors state that they have no conflict of interest related to the material discussed in this article.

Attached Files

Published - Chu_2020p1309.pdf

Files

Chu_2020p1309.pdf

Files (535.4 kB)

Name Size
md5:6b65a03917599421a079b915fed49fbd
535.4 kB Preview Download

Additional details

Additional titles

Alternative title
The Potential Dangers of AI for Radiology and Radiologists

Identifiers

PMCID
PMC7164850
Eprint ID
102676
DOI
10.1016/j.jacr.2020.04.010
Resolver ID
CaltechAUTHORS:20200420-154710784

Related works

Dates

Created
2020-04-20
Created from EPrint's datestamp field
Updated
2023-05-23
Created from EPrint's last_modified field