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Article

General-Purpose vs. Domain-Specific Large Language Models in Antibiotic Clinical Decision-Making: A Double-Blind Evaluation with a 2×2 Factorial Design

2026-07-13

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Antimicrobial resistance poses a major threat to global public health. Large language models (LLMs) offer new possibilities for optimizing antibiotic prescribing decisions, but the capabilities of general-purpose versus domain-specific medical LLMs under different prompting strategies remain to be clarified. <h4>Methods</h4> This double-blind, randomized-sequence evaluation...

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Literature Corpus work
e59ff550-4c1d-538b-bf0c-4b97df42cc7d
DOI
10.64898/2026.07.11.26357814
Open publication

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General-Purpose vs. Domain-Specific Large Language Models in Antibiotic Clinical Decision-Making: A Double-Blind Evaluation with a 2×2 Factorial DesignDOI 10.64898/2026.07.11.26357814
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