Analysis of eligibility criteria clusters based on large language models for clinical trial design.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 39724913

Abstract

OBJECTIVES: Clinical trials (CTs) are essential for improving patient care by evaluating new treatments' safety and efficacy. A key component in CT protocols is the study population defined by the eligibility criteria. This study aims to evaluate the effectiveness of large language models (LLMs) in encoding eligibility criterion information to support CT-protocol design.

Authors

  • Alban Bornet
    Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.
  • Philipp Khlebnikov
    Risklick AG, 3013 Bern, Switzerland.
  • Florian Meer
    Risklick AG, 3013 Bern, Switzerland.
  • Quentin Haas
    Risklick AG, Spin-off University of Bern, Bern, Switzerland.
  • Anthony Yazdani
    Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
  • Boya Zhang
    Tianjin Institute of Urology, the Second Hospital of Tianjin Medical University, Tianjin 300211, China.
  • Poorya Amini
    Risklick AG, Spin-off University of Bern, Bern, Switzerland.
  • Douglas Teodoro
    Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.

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