General-purpose LLMs with advanced prompting strategies provide better support for designing pharmacoepidemiologic studies than biomedical LLMs, as shown by higher relevance and justification scores on 46 real protocols.
The TRIPOD-LLM reporting guideline for studies using large language models
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An interdisciplinary workshop produced a catalog of ideas and a roadmap showing how meta-research can tackle challenges like reproducibility, transparency, and ethical implementation in trustworthy AI for healthcare.
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Employing General-Purpose and Biomedical Large Language Models with Advanced Prompt Engineering for Pharmacoepidemiologic Study Design
General-purpose LLMs with advanced prompting strategies provide better support for designing pharmacoepidemiologic studies than biomedical LLMs, as shown by higher relevance and justification scores on 46 real protocols.
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Advancing Trustworthy AI in Healthcare Through Meta-Research: Results of an Interdisciplinary Design-Thinking Workshop
An interdisciplinary workshop produced a catalog of ideas and a roadmap showing how meta-research can tackle challenges like reproducibility, transparency, and ethical implementation in trustworthy AI for healthcare.