AI RESEARCH
AI-assisted Protocol Information Extraction For Improved Accuracy and Efficiency in Clinical Trial Workflows
arXiv CS.AI
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ArXi:2602.00052v2 Announce Type: replace-cross Increasing clinical trial protocol complexity, amendments, and challenges around knowledge management create significant burden for trial teams. Structuring protocol content into standard formats has the potential to improve efficiency, documentation quality, and strengthen compliance. We evaluate an Artificial Intelligence (AI) system using generative LLMs with Retrieval-Augmented Generation (RAG) for automated clinical trial protocol information extraction.