A study reveals artificial intelligence must be carefully tested across multiple environments before being put into clinical practice.Artificial intelligence (AI) tools trained to detect pneumonia on chest X-rays suffered significant decreases in performance when tested on data from outside health systems, according to a new study conducted at the Icahn School of Medicine at Mount Sinai and published in a special issue of PLOS Medicine on machine learning and healthcare. These findings
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