Abstract
Large language models (LLMs) show considerable promise for clinical decision support (CDS) but none is currently authorized by the Food and Drug Administration (FDA) as a CDS device. We evaluated whether two popular LLMs could be induced to provide unauthorized, devicelike CDS, in violation of FDA's requirements. We found that LLM output readily produced devicelike decision support across a range of scenarios despite instructions to remain compliant with FDA guidelines.
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