Health
AI test excludes COVID-19 diagnosis within 1 hour in emergency department
Artificial intelligence (AI) tests have been shown to be able to quickly screen patients arriving at the emergency department with COVID-19 using clinical information available on a daily basis within an hour of coming to the hospital.
According to a CURIAL survey yesterday Lancet Digital HealthThe AI test correctly predicted the COVID-19 status of 92.3% of patients coming to the emergency department at John Radcliffe Hospital in Oxford and Houghton General Hospital in Banbury during the two-week test period.
Compared to the results of the laboratory swab test, the CURIAL AI test had a 97.6% chance of correctly excluding COVID.
The test uses routine medical data (blood tests and vital signs) extracted from electronic health records of 115,394 patients and 72,310 hospitalizations by Oxford University infectious disease and clinical machine learning experts. Was developed.
Important reason
Swab tests usually take 24 hours, but with the exception of COVID-19, CURIAL screening tests are optimized for reliable and rapid negative results while maintaining hospital flow.
Larger context
Oxford researchers have received an award from the University Medical Life Sciences Translation Fund, funded by the Medical Research Council and the Wellcome Trust, and are testing CURIAL AI in collaboration with the Infectious Diseases and Emergency Department team at John Radcliffe Hospital. I will. Test by clinical route.
In collaboration with the university hospital Birmingham, teams can use data from various NHS organizations to validate AI test performance.
The team is also testing a fast version of the CURIALAI test that uses a patient-like blood test that can be performed in 10 minutes. The exam will begin shortly at John Radcliffe Hospital.
On record
Dr. Andrew Soltan, NIHR Academic Clinical Fellow (Cardiology) at John Radcliffe Hospital and a researcher at Radcliffe Medical School at Oxford University, said: -19 identifies patients at high risk of testing positive for the majority of uninfected patients. High-risk patients can be cared for in the clinical setting with additional infection control precautions while the results of the swab test are awaited. “
Dr. Ravi Pattanshetty, A & E Consultant at John Radcliffe Hospital, said: “If successful, we are very excited about the possibility that the hospital will be able to use tools to help make more informed and quick decisions about patients. Flow.”
David Clifton, a professor of clinical machine learning in the Department of Engineering Science, said: “Many of our clinical colleagues who are at the forefront of fighting COVID-19 are health care AI data scientists who can help care for their patients.”
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