Prognostic Value and Reproducibility of AI-assisted Analysis of Lung Involvement in COVID-19 on Low-Dose Submillisievert Chest CT: Sample Size Implications for Clinical Trials

Christopher Gieraerts,Anthony Dangis,Lode Janssen,Annick Demeyere,Yves De Bruecker,Nele De Brucker,Annelies Van Den Bergh,Tine Lauwerier,André Heremans,Eric Frans,Michaël R. Laurent,Bavo Ector,John Roosen,Annick Smismans,Johan Frans,Marc Gillis,Rolf Symons

Prognostic Value and Reproducibility of AI-assisted Analysis of Lung Involvement in COVID-19 on Low-Dose Submillisievert Chest CT: Sample Size Implications for Clinical Trials

2020

Christopher Gieraerts
Anthony Dangis
Lode Janssen
Annick Demeyere
Yves De Bruecker
Nele De Brucker
Annelies Van Den Bergh
Tine Lauwerier
André Heremans
Eric Frans
Michaël R. Laurent
Bavo Ector
John Roosen
Annick Smismans
Johan Frans
Marc Gillis
Rolf Symons

Purpose To compare the prognostic value and reproducibility of visual versus AI-assisted analysis of lung involvement on submillisievert low-dose chest CT in COVID-19 patients. Materials and Method...

Keywords:

Reproducibility
low dose
Clinical trial
Sample size determination
Coronavirus disease 2019
lung involvement
Radiology
Medicine
chest ct

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