Researchers from Iceland used artificial intelligence to develop a machine-learning model to evaluate patients with respiratory symptoms before they visited a primary care clinic. The model was built using only questions that a patient could be asked before a clinic appointment. The data came from 1,500 clinical text notes that contained a physician’s evaluation of the patient’s symptoms and indicators. Patients were assigned to one of five diagnostic groups and were given a score in two external databases. The model was found to be able to decrease the amount of chest X-Ray referrals by removing them in risk categories 1 through 5. This could reduce the need for pointless diagnostic tests, medical expenses, and the overprescription of medicines.
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