Prediction of oxygen supplementation by a deep-learning model integrating clinical parameters and chest CT images in COVID-19.
Journal:
Japanese journal of radiology
PMID:
37440160
Abstract
PURPOSE: As of March 2023, the number of patients with COVID-19 worldwide is declining, but the early diagnosis of patients requiring inpatient treatment and the appropriate allocation of limited healthcare resources remain unresolved issues. In this study we constructed a deep-learning (DL) model to predict the need for oxygen supplementation using clinical information and chest CT images of patients with COVID-19.