The study, published in the journal Science, found that a state-of-the-art large language model outperformed human doctors on a range of common clinical tasks. Using real emergency department data and hundreds of physician comparisons, the model matched or even exceeded human clinician performance in diagnostic choices, emergency triage and determining next steps in management. The authors of the study said those results do not mean AI models are ready to replace human doctors. Instead, the results indicate that industry professionals need faster, more rigorous standards for evaluation and rules for using AI in medicine.
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