Journal
CLINICAL RADIOLOGY
Volume 74, Issue 5, Pages 338-345Publisher
W B SAUNDERS CO LTD
DOI: 10.1016/j.crad.2018.12.015
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Funding
- NATIONAL LIBRARY OF MEDICINE [ZIALM010004] Funding Source: NIH RePORTER
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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. (C) 2019 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.
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