Radiation-Induced Pneumonitis in the Era of the COVID-19 Pandemic: Artificial Intelligence for Differential Diagnosis

Radiation-Induced Pneumonitis in the Era of the COVID-19 Pandemic: Artificial Intelligence for Differential Diagnosis

(1) Aim: To test the performance of a deep learning algorithm in discriminating radiation therapy-related pneumonitis (RP) from COVID-19 pneumonia. (2) Methods: In this retrospective study, we enrolled three groups of subjects: pneumonia-free (control group), COVID-19 pneumonia and RP patients. CT i...

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Bibliographic Details
Main Authors: Francesco Maria Giordano, Edy Ippolito, Carlo Cosimo Quattrocchi, Carlo Greco, Carlo Augusto Mallio, Bianca Santo, Pasquale D’Alessio, Pierfilippo Crucitti, Michele Fiore, Bruno Beomonte Zobel, Rolando Maria D’Angelillo, Sara Ramella
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Cancers
Subjects:
COVID-19
radiation pneumonitis
artificial intelligence
deep learning
chest CT
Online Access:https://www.mdpi.com/2072-6694/13/8/1960

Internet

https://www.mdpi.com/2072-6694/13/8/1960

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