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In a busy hospital, a radiologist is using an artificial intelligence system to help her diagnose medical conditions based on patients' X-ray images. Using the AI system can help her make faster diagnoses, but how does she know when to trust the AI's predictions?
MIT researchers created a method that helps humans develop a more accurate mental model of an artificial intelligence teammate, so they have a better understanding of when they should trust the AI agent’s algorithmic predictions.
In a busy hospital, a radiologist is using an artificial intelligence system to help her diagnose medical conditions based on patients’ X-ray images
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 ...