August 15, 2025AIOpen Access

Automated Clinical Trial Data Analysis and Report Generation by Integrating Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) Technologies

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Results showed a significant composite quality index of 78.3, outperforming previous models.
The system notably reduced report drafting time by over 75%, leading to enhanced efficiency in clinical settings.
Assessment involved optimizing the large language model through reinforcement-learning for improved alignment.
Integration of RAG and LLM architectures may mitigate challenges like hallucination risks and limited context windows.

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Analysis reports improved retrieval accuracy in clinical trials, indicating RAG and LLM integration enhances efficiency.

Kuo et al. (2025) studied this question.

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