Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study.
cross_sectional · Level IV
Where this comes from
- Record sourced from PubMed, PMID 38648104.
- Also identified by DOI 10.2196/55388 and PMC identifier 11074888.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
In this cross-sectional study, we evaluated the completeness, readability, and syntactic complexity of cardiovascular disease prevention information produced by GPT-4 in response to 4 kinds of prompts.
Medical subject headings
- Cardiovascular Diseases