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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Jul 9, 2024
Date Accepted: Sep 1, 2024

The final, peer-reviewed published version of this preprint can be found here:

Practical Aspects of Using Large Language Models to Screen Abstracts for Cardiovascular Drug Development: Cross-Sectional Study

Ronquillo JG, Ye J, Gorman D, Lemeshow AR, Watt SJ

Practical Aspects of Using Large Language Models to Screen Abstracts for Cardiovascular Drug Development: Cross-Sectional Study

JMIR Med Inform 2024;12:e64143

DOI: 10.2196/64143

PMID: 39365849

PMCID: 11469161

Practical aspects of using large language models to screen abstracts for cardiovascular drug development: cross-sectional study

  • Jay G Ronquillo; 
  • Jamie Ye; 
  • Donal Gorman; 
  • Adina R Lemeshow; 
  • Stephen J Watt

ABSTRACT

This study investigates the ability of Large Language Models to screen abstracts for cardiovascular applications.


 Citation

Please cite as:

Ronquillo JG, Ye J, Gorman D, Lemeshow AR, Watt SJ

Practical Aspects of Using Large Language Models to Screen Abstracts for Cardiovascular Drug Development: Cross-Sectional Study

JMIR Med Inform 2024;12:e64143

DOI: 10.2196/64143

PMID: 39365849

PMCID: 11469161

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