Algorithmic bias in clinical resource allocation by a large language model: a cross-sectional in-silico evaluation of 13,608 decisions
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Background: Large language models (LLMs) hold the potential to transform clinical medicine, but their capacity to amplify societal biases is a significant concern, particularly in the ethically sensitive domain of clinical resour... ...
