Article

Silent numerical failures in large language model–generated pharmacokinetic simulation code: a benchmark against target-controlled infusion validation criteria using the Marsh propofol model

2026-04-28

Abstract excerpt

<h4>Background</h4> Large language models (LLMs) are increasingly used by clinicians to generate executable code for pharmacokinetic (PK) simulation. Whether such code meets the accuracy standards of target-controlled infusion systems has not been systematically evaluated. <h4>Methods</h4> Five LLMs (ChatGPT, Claude, DeepSeek, Gemini, Grok) were prompted to generate Python code for the Marsh three-compartment pr...

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Literature Corpus work: d83b02c6-e81e-5165-91cf-a2ac97b85b39
DOI: 10.64898/2026.04.27.26351582

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