Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

The University of Oxford-led National Consortium of Intelligent Medical Imaging (NCIMI) in the UK is collaborating with GE Healthcare 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 patients who test positive for COVID-19 will deteriorate and require hospital admission for oxygen and possible ventilation. Nor is it clear which patients will suffer long-term consequences from the lung damage from COVID-19 pneumonia. The teams aim to develop algorithms incorporating data from thousands of patients medical imaging, laboratory and clinical observations to provide both a quicker diagnosis and a prediction of how a patient may progress and recover.

Currently, some patients admitted to hospital do not see a worsening of their symptoms, while others who appear stable can deteriorate rapidly. Identification of those patients at highest risk of deterioration and long-term lung function problems may help physicians and caregivers to accelerate intensive support. It may also allow those with lower risk to be monitored in a suitably safe environment, potentially including the patient’s home. GE Healthcare and NCIMI aim to develop tools to help in the management of these COVID-19 patients from triage to acute monitoring, interventions, to discharge and those requiring follow-up after recovery.

Read more on the University of Oxford website

Similar stories

Professor Dame Sarah Gilbert delivers 44th Dimbleby Lecture

Professor Dame Sarah Gilbert, Saïd Professorship of Vaccinology, Jenner Institute & Nuffield Department of Clinical Medicine, delivered the 44th Richard Dimbleby Lecture, named after the late broadcaster, Richard Dimbleby.

Com-COV2 study supports flexible second dose options following Pfizer or Oxford/AstraZeneca jabs

Following up first doses of the Oxford-AstraZeneca or Pfizer-BioNTech vaccines with second doses of the Moderna or Novavax jabs will generate robust immune responses against COVID-19, according to researchers running the University of Oxford-led Com-COV study.

Meta must do better - data from social media giant essential to mental health research

People are rightly sceptical about scientific discoveries made in secret or without scrutiny. And anyone claiming to have found a new planet with a toy telescope, would not be taken seriously. Recent leaks of internal Facebook research on the mental health of children and young people have caused a great stir on both sides of the Atlantic.

New Oxford-GSK Institute to harness advanced technology and unravel mechanisms of disease

GlaxoSmithKline plc and the University of Oxford today announced a major five-year collaboration to establish the Oxford-GSK Institute of Molecular and Computational Medicine.

Oxford researchers honoured by British Society for Immunology

Four researchers from the University of Oxford have been recognised for their outstanding contributions to immunology with Honorary Lifetime Membership of the British Society for Immunology, with the awards being announced at the recent British Society for Immunology Congress held in Edinburgh.

Medical Sciences researchers scoop 2021 Times Higher Education Awards

Coronavirus researchers from across Medical Sciences have been honoured at the 2021 Times Higher Education (THE) Awards.