Automated Extraction of Genetic Eligibility Criteria from Clinical Trial Records Using LLMs - A Technical Case Report.

Abstract excerpt

INTRODUCTION: Accurate interpretation of clinical trial eligibility criteria is essential for applications such as patient-trial matching and clinical decision support, particularly in precision oncology. However, relevant information, including genetic mutation requirements, is typically embedded in unstructured text within trial registries such as ClinicalTrials.gov, limiting accessibility for automated...

Topics

• Large Language Models
• Humans
• Clinical Trials as Topic
• Data Mining
• Natural Language Processing
• Eligibility Determination