NCIMI backed study confirms longer-term lung damage after COVID-19

A study by Oxford and Sheffield researchers backed by NCIMI using a cutting-edge has identified persistent damage to the lungs of COVID-19 patients at least three months after they were discharged from hospital, and for some patients even longer.

This damage was not detected by routine CT scans and clinical tests, and the patients would consequently normally be told their lungs are normal.

Further early research by the team has shown that…

Read the full article as featured by NCIMI on their website: https://ncimi.co.uk/latest/study-confirms-longer-term-lung-damage-after-covid-19/

Hidden lung damage from Covid-19 revealed in new study

Early findings from a study into longer-term damage in patients recovering from COVID-19 suggest that cutting-edge scanning techniques may detect previously unseen lung damage.

The research by the universities of Oxford and Sheffield is the first in Europe to use hyperpolarised Xenon gas with MRI scanning to identify the impact on lung function as patients recover from COVID-19, when standard MR and CT scans may be normal. The study is being supported by the NIHR Oxford Biomedical Research Centre.

In some people, the symptoms of COVID-19 can…

To read the full article, please visit: https://www.ouh.nhs.uk/covid-19/news/article.aspx?id=1431

NCIMI partners collaborate on AI algorithms to help predict COVID-19 severity and long-term impact

GE Healthcare is working with the University of Oxford-led National Consortium of Intelligent Medical Imaging (NCIMI) in the UK to develop and test algorithms to aid in the diagnosis and management of COVID-19 pneumonia.

The program will focus on developing, enhancing and testing potential algorithms to help diagnose COVID-19 pneumonia, predict which patients will develop severe respiratory distress – a key cause of mortality in patients who develop COVID-19 pneumonia – and which patients might develop longer term lung function problems, even when they recover from respiratory distress.

At present, clinicians cannot easily predict which…

To read more, visit https://ncimi.co.uk/latest/ncimi-partners-collaborate-on-ai-algorithms-to-help-predict-covid-19-severity-and-long-term-impact/