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Rapid COVID-19 AI Test Predicts Well against PCR Swab Results

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

Councils in England under Tier 3 restrictions roll out rapid community Covid testing

Advertisement Councils under England s toughest coronavirus restrictions are to roll out rapid community testing programmes in a bid to cut Covid-19 transmission rates this winter. An initial wave of 67 Tier 3 local authorities have received Government approval for testing schemes to help put them on a path towards relaxing local measures. As part of the Government s Covid winter plan, more than 1.6 million rapid turnaround lateral flow tests would be delivered for use this month, the Department of Health and Social Care (DHSC) said. Health Secretary Matt Hancock said the enhanced testing programmes follow a successful pilot in Liverpool and will be a vital additional tool in finding asymptomatic cases. 

AI test rules out a COVID-19 diagnosis within one hour in emergency departments

01:47 AM An artificial intelligence (AI) test has been shown to be able to rapidly screen patients arriving in emergency departments for COVID-19, using clinical information routinely available within the first hour of coming to hospital. According to the CURIAL study, published yesterday in The Lancet Digital Health, the AI test correctly predicted the COVID-19 status of 92.3% of patients coming to emergency departments at the John Radcliffe Hospital in Oxford and the Horton General Hospital in Banbury during a two-week test period. Compared against results of laboratory swab testing, the CURIAL AI test correctly ruled-out COVID 97.6% of the time. The test was developed by infectious disease and clinical machine learning experts at the University of Oxford using routine healthcare data (blood tests and vital signs) extracted from electronic health records for 115,394 patients and 72,310 admissions. 

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