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Development and implementation of an AI system for clinical toxicology sign-outs
2026-01-30
toxicology
Title + abstract only
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BackgroundModern natural language tools have potential to improve clinical workflows, but few have been successfully deployed in practice. Here, we present the development, deployment, and evaluation of an AI language tool for generating preliminary clinical sign-outs in a urine drug testing service. MethodsLarge language models (LLMs) were used to extract substance use patterns from 83,553 urine drug test interpretations. We then trained an AI model using these data to predict substance use fr...
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