Leveraging Large Language Models to Automate Patient-Clinical Trial Matching: An End-to-End Evaluation on Real-World Electronic Health Records

Large language models can effectively match patients to appropriate clinical trials by directly processing unstructured electronic health records and trial eligibility criteria, outperforming existing approaches and nearly matching the performance of qualified medical experts.