AI-Powered Clinical Trial Recruitment
Secure LLM Pipeline for Hepatopathy Patient Pre-screening
This research introduces a novel pre-screening pipeline that combines clinical expertise with large language models to improve hepatopathy clinical trial recruitment efficiency while maintaining data privacy.
- Leverages AI to interpret complex eligibility criteria for liver diseases
- Reduces time-consuming manual screening processes prone to human error
- Addresses critical data privacy concerns in clinical settings
- Demonstrates how LLMs can be integrated into healthcare workflows
This innovation has significant implications for medical research efficiency, potentially accelerating the development of treatments for liver diseases while establishing a model for secure AI integration in clinical environments.