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

arXiv: https://arxiv.org/abs/2402.16406 · HTML: https://mlsanity.com/paper/2402.16406/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 17 references that are in the map.
- First posted on arXiv 26 Feb 2024.

## Builds on (most cited first, 6 of 6)

- [GPT-4 Technical Report](https://mlsanity.com/paper/2303.08774/) (2023)
- [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://mlsanity.com/paper/2005.11401/) (2020)
- [Retrieval-Augmented Generation for Large Language Models: A Survey](https://mlsanity.com/paper/2312.10997/) (2023)
- [Matching Patients to Clinical Trials with Large Language Models](https://mlsanity.com/paper/2307.15051/) (2023)
- [The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models](https://mlsanity.com/paper/2401.05618/) (2024)
- [AutoTrial: Prompting Language Models for Clinical Trial Design](https://mlsanity.com/paper/2305.11366/) (2023)

## Built on by (most cited first, 6 of 6)

- [LexDrafter: Terminology Drafting for Legislative Documents using Retrieval Augmented Generation](https://mlsanity.com/paper/2403.16295/) (2024)
- [A Survey on LLM-Assisted Clinical Trial Recruitment](https://mlsanity.com/paper/2506.15301/) (2025)
- [InformGen: An AI Copilot for Accurate and Compliant Clinical Research Consent Document Generation](https://mlsanity.com/paper/2504.00934/) (2025)
- [A Knowledge Graph and a Tripartite Evaluation Framework Make Retrieval-Augmented Generation Scalable and Transparent](https://mlsanity.com/paper/2509.19209/) (2025)
- [AI-assisted Protocol Information Extraction For Improved Accuracy and Efficiency in Clinical Trial Workflows](https://mlsanity.com/paper/2602.00052/) (2026)
- [GuidelineGuard: An Agentic Framework for Medical Note Evaluation with Guideline Adherence](https://mlsanity.com/paper/2411.06264/) (2024)

## Abstract (arXiv)

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/