Skip to main content
Oxford University Hospitals NHS Foundation Trust

Alert Coronavirus / COVID-19

If you have a new continuous cough, a high temperature, or a loss or change to your sense of taste or smell, do not come to our hospitals. Follow the national advice on coronavirus (COVID-19).

Please find information on our services and visiting restrictions in our COVID-19 section.

Patients and visitors must wear a face covering in our hospitals.

This site is best viewed with a modern browser. You appear to be using an old version of Internet Explorer.

AI test screens for Covid-19 26% faster than lateral flow tests

01/09/2021

An artificial intelligence (AI) test performed by the bedside in 10 minutes has been shown to quickly and safely triage patients coming to hospital for COVID-19.

During a three-month evaluation at the John Radcliffe Hospital in Oxford, the CURIAL-Rapide study, led by University of Oxford researchers, showed that COVID-19 screening results were available 45 minutes after patients arrived in the emergency department – 16 minutes, or 26 per cent, faster than lateral flow tests (LFTs)

When compared against results of PCR testing, CURIAL-Rapide was more likely to identify COVID-19 patients than the LFTs, and corrected ruled out the infection 99.7 per cent of the time.

The study, published on the medRxiv pre-print server, found that the AI test performed consistently across 72,000 admissions to five UK hospitals, providing high-confidence negative results for uninfected patients up to 98.8 per cent of the time. As well as Oxford University Hospitals, the study was carried out with University Hospitals Birmingham NHS Foundation Trust, Portsmouth University Hospitals NHS Trust and Bedfordshire Hospitals NHS Foundation Trust.

The study also found that CURIAL-Rapide was 21 per cent more effective at identifying COVID-19 patients than LFTs between December 2020 and March 2021.

Lead researcher and NIHR Academic Clinical Fellow at the John Radcliffe Hospital Dr Andrew Soltan said: "Many of our patients coming to the ED are in the most vulnerable groups. CURIAL-Rapide is exciting because it uses new near-patient testing to collect all the data needed for a prediction by the bedside in 10 minutes, cutting out the time for transporting samples to a lab. This means infected patients are identified sooner, while patients being admitted with other conditions can be quickly and safely transferred to wards where they are less likely to be exposed.

"This technology can help hospitals run more smoothly and may make a particularly big difference for smaller hospitals where there isn't a lab on site. CURIAL is an example of how the collaborative strength of the NHS, bringing together universities with hospital groups across the country, is helping to build an evidence base for safe and responsible use of clinical AI."

The CURIAL-Rapide AI screening test, developed from the technology used in the CURIAL-1.0 model released last year, uses routine tests to screen emergency department patients for COVID-19. The new version of CURIAL uses only tests that can be performed at the bedside, achieving a 10-minute processing time without needing access to a laboratory.

Other key findings from the study:

  • During a three-month evaluation period at the John Radcliffe Hospital, CURIAL-Rapide results were available almost seven hours sooner than PCR results, and correctly ruled out COVID-19 for 58.5 per cent of negative patients who were triaged by a clinician to 'COVID-19-suspected' (amber) areas
  • In a retrospective evaluation of lateral flow testing for all patients admitted to OUH between December 23 2020 and March 6 2021, LFTs were 56.9 per cent effective at identifying patients who had COVID-19, but this improved to 88.2 per cent when used in combination with CURIAL-Rapide
  • A different AI model named CURIAL-Lab, which uses routine blood tests performed in a laboratory alongside vital signs, was at least as effective as CURIAL-Rapide when tested at collaborating hospitals. As all the data required for CURIAL-Lab is collected within 1h as part of standard-care, this test can be deployed rapidly at-scale rapidly without additional costs.

OUH Consultant in Emergency Medicine and Ambulatory Care, Dr Alex Novak said: "The CURIAL studies are an exciting demonstration of the potential for AI-led diagnostic tools in acute clinical settings, with the power to rapidly translate into tangible benefits for patient care and optimise service performance at the frontline."

Emergency medicine consultant at OUH Dr Ravi Pattanshetty added: "CURIAL has proven to be a very effective tool for both rapid front-door diagnosis of COVID-19 and to ease the patient flow through the hospital. This ultimately results in fewer hospital acquired infections and opens up an exciting prospect for future AI tools to help overburdened emergency departments."

Dr Soltan, also a researcher at Oxford University’s Radcliffe Department of Medicine, added: "Lateral flow tests help identify cases sooner, giving high-confidence positive results. But negative results are more uncertain - in our evaluation LFTs gave negative results for almost half (43 per cent) of patients who went on to swab positive. CURIAL-Rapide complements LFDs with high-confidence negative results in minutes. Combining the two rapid tests gives the best performance, and both results are available within one hour."