Comparative effectiveness study evaluates adverse event detection by a large language model versus human consensus across four clinical trials, highlighting AI utility in safety monitoring.
This comparative effectiveness study examines the ability of a large language model vs human reviewer consensus to identify adverse events from encounter notes from 4 randomized clinical trials.
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Elia et al. (2026) studied this question.
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