The Added Effect of Artificial Intelligence on Physicians’ Performance in Detecting Thoracic Pathologies on CT and Chest X-ray: A Systematic Review

The Added Effect of Artificial Intelligence on Physicians’ Performance in Detecting Thoracic Pathologies on CT and Chest X-ray: A Systematic Review

Our systematic review investigated the additional effect of artificial intelligence-based devices on human observers when diagnosing and/or detecting thoracic pathologies using different diagnostic imaging modalities, such as chest X-ray and CT. Peer-reviewed, original research articles from EMBASE,...

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Bibliographic Details
Main Authors: Dana Li, Lea Marie Pehrson, Carsten Ammitzbøl Lauridsen, Lea Tøttrup, Marco Fraccaro, Desmond Elliott, Hubert Dariusz Zając, Sune Darkner, Jonathan Frederik Carlsen, Michael Bachmann Nielsen
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Diagnostics
Subjects:
artificial intelligence
deep learning
computer-based devices
radiology
thoracic diagnostic imaging
chest X-ray
Online Access:https://www.mdpi.com/2075-4418/11/12/2206

Internet

https://www.mdpi.com/2075-4418/11/12/2206

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