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

Research Letter (6) Drug Discovery and Clinical Trials (5) Machine Learning (1928) Artificial Intelligence (1960) Chatbots and Conversational Agents (695) Generative Language Models Including ChatGPT (613)

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 (2) Tweetations (2) Metrics

Journals

  1. Wu Y, Wang N, Xiong P, Wang R, Deng J, Ouyang D. Artificial intelligence-driven drug delivery: innovations and challenges. SCIENTIA SINICA Chimica 2025;55(6):1623 View
  2. Jia Y, Pang L, Bi M, Yang X, Song J. Dependability of Large Language Models in Cardiovascular Medicine: A Scoping Review. Journal of Cardiothoracic and Vascular Anesthesia 2025 View