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Clin Radiol ; 74(5): 338-345, 2019 05.
Article in English | MEDLINE | ID: mdl-30704666

ABSTRACT

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.


Subject(s)
Artificial Intelligence/trends , Radiography, Thoracic/trends , Algorithms , Diagnosis, Computer-Assisted/trends , Forecasting , Humans , Lung Diseases/diagnostic imaging , Machine Learning/trends , Radiography, Thoracic/methods , Tuberculosis, Pulmonary/diagnostic imaging
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