It uses clinical information routinely available within the first hour of coming to hospital. Results of the CURIAL study show that the AI test correctly predicted the Covid-19 status of 92.3 per cent of patients coming to A&E departments at the John Radcliffe Hospital in Oxford and the Horton General Hospital in Banbury during a two-week test period. The screening test was developed by infectious disease and clinical machine learning experts at the University of Oxford. Compared against results of laboratory swab testing, the CURIAL AI screening test correctly ruled-out COVID-19 97.6 per cent of the time. However, whereas swab testing typically takes 24 hours, the AI screening test offers rapid results using data that is already routinely available within one hour.
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Dec 13 2020 Read 1082 Times
A screening test conducted on patients arriving at the Emergency departments of the John Radcliffe Hospital in Oxford and the Horton General Hospital in Banbury has been found to accurately predict the COVID-19 status of 92.3% of patients within the first hour of coming to hospital. Using data from clinical information routinely available (blood tests and vital signs), the two-week CURIAL study(1) found the Artificial Intelligence test correctly ruled-out COVID-19 97.6% of the time when compared against results of PCR laboratory swab testing, which typically takes 24 hours.
An infectious disease research team led by Dr Andrew Soltan, an NIHR Academic Clinical Fellow (Cardiology) at the John Radcliffe Hospital, joined fellow experts at the AI for Healthcare lab of Professor David Clifton, within Oxford’s Institute of Biomedical Engineering and also Professor David Eyre of the Oxford Big Data Institute to develop the test which was initiated in Ma