This paper is in the following e-collection/theme issue:

Research Letter (2) Drug Discovery and Clinical Trials (3) Machine Learning (1471) Artificial Intelligence (1377) Chatbots and Conversational Agents (531) Generative Language Models Including ChatGPT (311)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64143, first published .
Practical Aspects of Using Large Language Models to Screen Abstracts for Cardiovascular Drug Development: Cross-Sectional Study

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

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

Authors of this article:

Jay G Ronquillo1 Author Orcid Image ;   Jamie Ye1 Author Orcid Image ;   Donal Gorman2 Author Orcid Image ;   Adina R Lemeshow1 Author Orcid Image ;   Stephen J Watt1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Jay G Ronquillo   1 , MPH, MMSc, MEng, MD ;   Jamie Ye   1 , MPH ;   Donal Gorman   2 , PhD ;   Adina R Lemeshow   1 , PhD ;   Stephen J Watt   1 , MD

1 Worldwide Medical and Safety, Pfizer Research and Development, Pfizer Inc, New York, NY, United States

2 Pfizer Research and Development UK Ltd, Cambridge, United Kingdom

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