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From RAGs to riches: Utilizing large language models to write documents for clinical trials

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arxiv 2402.16406 v2 pith:I77AOTH2 submitted 2024-02-26 cs.CL

classification cs.CL
keywords httpslinkpubmedarticlebeenclinicaldocumentsjournal
verification ladder T0 review T1 audit T2 compute T3 formal
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This manuscript has now been published: - Link to article on journal website: https://journals.sagepub.com/doi/10.1177/17407745251320806 - Pubmed link: https://pubmed.ncbi.nlm.nih.gov/40013826/

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Cited by 1 Pith paper

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  1. Can artificial intelligence predict clinical trial outcomes?

    cs.LG 2024-11 reject novelty 4.0 of 10

    A comparison of LLMs and HINT for clinical trial outcome prediction that is undermined by data leakage and post-hoc exclusions.

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