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

This work tackles the problem of inefficient document creation in clinical trials for researchers and regulatory bodies, representing an incremental improvement by applying existing AI methods to a new domain.

The paper addresses the challenge of writing clinical trial documents by leveraging large language models, demonstrating that this approach can reduce the time and effort required for document preparation.