Chronic lung lesions in COVID-19 survivors: predictive clinical model.

Carlos Roberto Ribeiro de CarvalhoRodrigo Caruso ChateMarcio Valente Yamada SawamuraMichelle Louvaes GarciaCelina Almeida LamasDiego Armando Cardona CardenasDaniel Mario LimaPaula Gobi ScudellerJoão Marcos SalgeCesar Higa NomuraMarco Antonio Gutierreznull nullnull null

Published in: BMJ open (2022)

A predictive clinical model based on CXR, mMRC, oximetry and spirometry data can accurately screen patients with lung lesions after SARS-CoV-2 infection. Given that these examinations are highly accessible and low cost, this protocol can be automated and implemented in different countries for early detection of COVID-19 sequelae.

Keyphrases

low cost
coronavirus disease
sars cov
high throughput
respiratory syndrome coronavirus
machine learning
deep learning
lung function
chronic obstructive pulmonary disease
single cell
drug induced
data analysis