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228P Implementation and evaluation of an artificial intelligence-based query resolution tool in oncology clinical trials
0
Zitationen
9
Autoren
2025
Jahr
Abstract
Timely resolution of investigator and site queries (such as inquiries about protocol procedures, eligibility criteria, and study conduct) is vital for protocol adherence, patient safety, and efficiency in oncology trials. Manually searching for trials documents and expert consultation to address such queries is a time-consuming task associated with operational delays and study conduct inconsistencies. Advances in artificial intelligence and large language models (LLMs), particularly when integrated in Retrieval-Augmented Generation (RAG) frameworks, enable rapid and accurate query handling.
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