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

Publication ,  Journal Article
Kallianos, K; Mongan, J; Antani, S; Henry, T; Taylor, A; Abuya, J; Kohli, M
Published in: Clin Radiol
May 2019

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.

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Published In

Clin Radiol

DOI

EISSN

1365-229X

Publication Date

May 2019

Volume

74

Issue

5

Start / End Page

338 / 345

Location

England

Related Subject Headings

  • Tuberculosis, Pulmonary
  • Radiography, Thoracic
  • Nuclear Medicine & Medical Imaging
  • Machine Learning
  • Lung Diseases
  • Humans
  • Forecasting
  • Diagnosis, Computer-Assisted
  • Artificial Intelligence
  • Algorithms
 

Citation

APA
Chicago
ICMJE
MLA
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Kallianos, K., Mongan, J., Antani, S., Henry, T., Taylor, A., Abuya, J., & Kohli, M. (2019). How far have we come? Artificial intelligence for chest radiograph interpretation. Clin Radiol, 74(5), 338–345. https://doi.org/10.1016/j.crad.2018.12.015
Kallianos, K., J. Mongan, S. Antani, T. Henry, A. Taylor, J. Abuya, and M. Kohli. “How far have we come? Artificial intelligence for chest radiograph interpretation.Clin Radiol 74, no. 5 (May 2019): 338–45. https://doi.org/10.1016/j.crad.2018.12.015.
Kallianos K, Mongan J, Antani S, Henry T, Taylor A, Abuya J, et al. How far have we come? Artificial intelligence for chest radiograph interpretation. Clin Radiol. 2019 May;74(5):338–45.
Kallianos, K., et al. “How far have we come? Artificial intelligence for chest radiograph interpretation.Clin Radiol, vol. 74, no. 5, May 2019, pp. 338–45. Pubmed, doi:10.1016/j.crad.2018.12.015.
Kallianos K, Mongan J, Antani S, Henry T, Taylor A, Abuya J, Kohli M. How far have we come? Artificial intelligence for chest radiograph interpretation. Clin Radiol. 2019 May;74(5):338–345.
Journal cover image

Published In

Clin Radiol

DOI

EISSN

1365-229X

Publication Date

May 2019

Volume

74

Issue

5

Start / End Page

338 / 345

Location

England

Related Subject Headings

  • Tuberculosis, Pulmonary
  • Radiography, Thoracic
  • Nuclear Medicine & Medical Imaging
  • Machine Learning
  • Lung Diseases
  • Humans
  • Forecasting
  • Diagnosis, Computer-Assisted
  • Artificial Intelligence
  • Algorithms