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Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study.

Vishala MishraAshish SarrajuNeil M KalwaniJoseph P Dexter
Published in: Journal of medical Internet research (2024)
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.
Keyphrases
  • cardiovascular disease
  • health information
  • type diabetes
  • cardiovascular risk factors
  • cardiovascular events
  • autism spectrum disorder
  • social media
  • healthcare
  • metabolic syndrome