Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value

Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value

Abstract Background Artificial intelligence (AI) in diagnostic radiology is undergoing rapid development. Its potential utility to improve diagnostic performance for cardiopulmonary events is widely recognized, but the accuracy and precision have yet to be demonstrated in the context of current scre...

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Bibliographic Details
Main Authors: Jordan Chamberlin, Madison R. Kocher, Jeffrey Waltz, Madalyn Snoddy, Natalie F. C. Stringer, Joseph Stephenson, Pooyan Sahbaee, Puneet Sharma, Saikiran Rapaka, U. Joseph Schoepf, Andres F. Abadia, Jonathan Sperl, Phillip Hoelzer, Megan Mercer, Nayana Somayaji, Gilberto Aquino, Jeremy R. Burt
Format: Article
Language:English
Published: BMC 2021-03-01
Series:BMC Medicine
Subjects:
Convolutional neural networks
Deep learning
Artificial intelligence
Lung cancer screening
Coronary artery disease
Cardiothoracic imaging
Online Access:https://doi.org/10.1186/s12916-021-01928-3

Internet

https://doi.org/10.1186/s12916-021-01928-3

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