From RAGs to riches: Utilizing large language models to write documents for clinical trials
Nigel Markey, Ilyass El-Mansouri, Gaetan Rensonnet, Casper van Langen,, Christoph Meier
TL;DR
This paper explores how large language models can be employed to generate documents for clinical trials, aiming to improve efficiency and accuracy in the clinical research documentation process.
Contribution
It introduces a novel application of large language models specifically tailored for drafting clinical trial documents, advancing the use of AI in medical research documentation.
Findings
Large language models can effectively generate clinical trial documents.
The approach improves drafting efficiency and consistency.
Potential for reducing manual effort in clinical documentation.
Abstract
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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Taxonomy
TopicsBiomedical Text Mining and Ontologies
MethodsRefunds@Expedia|||How do I get a full refund from Expedia? · Attention Is All You Need · WordPiece · Residual Connection · Linear Layer · Byte Pair Encoding · Weight Decay · Dropout · Multi-Head Attention · Linear Warmup With Linear Decay