Cardiothoracic ratio measurement using artificial intelligence: observer and method validation studies

Cardiothoracic ratio measurement using artificial intelligence: observer and method validation studies

Abstract Background Artificial Intelligence (AI) is a promising tool for cardiothoracic ratio (CTR) measurement that has been technically validated but not clinically evaluated on a large dataset. We observed and validated AI and manual methods for CTR measurement using a large dataset and investiga...

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Bibliographic Details
Main Authors: Pairash Saiviroonporn, Kanchanaporn Rodbangyang, Trongtum Tongdee, Warasinee Chaisangmongkon, Pakorn Yodprom, Thanogchai Siriapisith, Suwimon Wonglaksanapimon, Phakphoom Thiravit
Format: Article
Language:English
Published: BMC 2021-06-01
Series:BMC Medical Imaging
Subjects:
Cardiothoracic ratio
Deep learning
Clinical validation
Observer variation
AI
Online Access:https://doi.org/10.1186/s12880-021-00625-0

Internet

https://doi.org/10.1186/s12880-021-00625-0

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