Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data.

ABSTRACT:

Objectives

Early recognition of coronavirus disease 2019 (COVID-19) severity can guide patient management. However, it is challenging to predict when COVID-19 patients will progress to critical illness. This study aimed to develop an artificial intelligence system to predict future deterioration to critical illness in COVID-19 patients.

Methods

An artificial intelligence (AI) system in a time-to-event analysis framework was developed to integrate chest CT and clinical data for risk prediction of future deterioration to critical illness in patients with COVID-19.

Results

A multi-institutional international cohort of 1,051 patients with RT-PCR confirmed COVID-19 and chest CT was included in this study. Of them, 282 patients developed critical illness, which was defined

SUBMITTER: Wang R 

PROVIDER: S-EPMC8256200 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature