Enhancing hepatopathy clinical trial efficiency: a secure, large language model-powered pre-screening pipeline.

ABSTRACT:

Background

Recruitment for cohorts involving complex liver diseases, such as hepatocellular carcinoma and liver cirrhosis, often requires interpreting semantically complex criteria. Traditional manual screening methods are time-consuming and prone to errors. While AI-powered pre-screening offers potential solutions, challenges remain regarding accuracy, efficiency, and data privacy.

Methods

We developed a novel patient pre-screening pipeline that leverages clinical expertise to guide the precise, safe, and efficient application of large language models. The pipeline breaks down complex criteria into a series of composite questions and then employs two strategies to perform semantic question-answering through electronic health records: (1) Pathway A, Anthropomorphized Experts

SUBMITTER: Gui X 

PROVIDER: S-EPMC12167571 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature