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A recent study has shown that an artificial intelligence chatbot was more accurate than clinicians in estimating the probability of a diagnosis after a patient received a negative test result. The chatbot, known as a learning language model (LLM), was fed five series of cases and was able to update its estimates after being given test results. The LLM had less error in pre- and post-test probability than the clinicians across all five cases for negative test results. However, the LLM did not perform as well after positive test results.