A new, automated, artificial intelligence-based algorithm can learn to read patient data from electronic health records. In a side-by-side comparison, scientists showed that their method accurately identified patients with certain diseases as well as the traditional, ‘gold-standard’ method, which requires much more manual labor to develop and perform.
Scientists create a labor-saving automated method for studying electronic health records: Study suggests new method is as effective as manually-based ‘gold-standard’ at classifying a diagnosis
