Collaborative AI passes U.S. medical exams
A council of five AI models working together, discussing their answers through an iterative process, achieved 97%, 93%, and 94% accuracy on 325 medical exam questions spanning the three stages of the U.S. Medical Licensing Examination (USMLE), according to a study published in PLOS Medicine by researcher Yahya Shaikh of Baltimore, U.S., and colleagues.
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