Improving Clinical Trial Recruitment using Clinical Narratives and Large Language Models
📰 ArXiv cs.AI
Using large language models to improve clinical trial recruitment by screening clinical narratives
Action Steps
- Utilize encoder-based generative LLMs to analyze clinical narratives
- Apply decoder-based generative LLMs to generate patient profiles
- Integrate LLMs with existing clinical trial management systems
- Evaluate the performance of LLMs in improving patient screening accuracy
Who Needs to Know This
Data scientists and AI engineers on a clinical trial team can benefit from this research to improve patient screening and recruitment efficiency
Key Insight
💡 Large language models can efficiently screen clinical narratives to improve patient recruitment
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🚀 AI-powered clinical trial recruitment! 💡
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