Artificial intelligence-based quantification of COVID-19 pneumonia burden using chest CT / Chiara Nardocci, Judit Simon, Bettina Katalin Budai
Bibliogr.: p. 17-21. - Abstr. eng. - DOI: https://doi.org/10.1556/1647.2024.00167
In: Imaging. - ISSN eISSN 2732-0960. - 2024. 16. évf. 1. sz., p. 1-21. : ill.
During the coronavirus disease 2019 (COVID-19) pandemic, artificial intelligence (AI) based software on chest computed tomography (CT) imaging has proven to have a valuable role in accelerating diagnosis and screening. The proposed AI-based tools proved to be rapid and reproducible techniques to guide patient management and treatment protocols. Although no specific guidelines exist, CT-imaging and clinical features are used for patient staging. To shed light on the role of AI techniques that have been developed in fighting COVID-19, in this review, studies investigating the usage of commonly used AI models on chest CT imaging for disease quantification and prognostication are collected. Kulcsszavak: artificial intelligence, neural networks, deep learning, COVID-19, pneumonia, chest CT