Learning to match patients to clinical trials using large language models.

Journal: Journal of biomedical informatics
PMID: 39389283

Abstract

OBJECTIVE: This study investigates the use of Large Language Models (LLMs) for matching patients to clinical trials (CTs) within an information retrieval pipeline. Our objective is to enhance the process of patient-trial matching by leveraging the semantic processing capabilities of LLMs, thereby improving the effectiveness of patient recruitment for clinical trials.

Authors

  • Maciej Rybinski
    Departamento LCC, University of Malaga, Campus Teatinos, Malaga, 29010, Spain.
  • Wojciech Kusa
    TU Wien, Favoritenstrasse 9-11, Vienna, 1040, Austria.
  • Sarvnaz Karimi
    Australian e-Health Research Centre, CSIRO, Royal Brisbane and Women's Hospital, Brisbane, Australia.
  • Allan Hanbury
    Institute of Information Systems Engineering, TU Wien (Vienna University of Technology), Vienna, Austria.

Keywords

External Resources

Popular Topics
Recent Journals