How far have we come? Artificial intelligence for chest radiograph interpretation.

Journal Article (Journal Article;Review)

Due to recent advances in artificial intelligence, there is renewed interest in automating interpretation of imaging tests. Chest radiographs are particularly interesting due to many factors: relatively inexpensive equipment, importance to public health, commonly performed throughout the world, and deceptively complex taking years to master. This article presents a brief introduction to artificial intelligence, reviews the progress to date in chest radiograph interpretation, and provides a snapshot of the available datasets and algorithms available to chest radiograph researchers. Finally, the limitations of artificial intelligence with respect to interpretation of imaging studies are discussed.

Full Text

Duke Authors

Cited Authors

  • Kallianos, K; Mongan, J; Antani, S; Henry, T; Taylor, A; Abuya, J; Kohli, M

Published Date

  • May 2019

Published In

Volume / Issue

  • 74 / 5

Start / End Page

  • 338 - 345

PubMed ID

  • 30704666

Electronic International Standard Serial Number (EISSN)

  • 1365-229X

Digital Object Identifier (DOI)

  • 10.1016/j.crad.2018.12.015

Language

  • eng

Conference Location

  • England