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

Vishala Mishra Ashish Sarraju Neil M Kalwani Joseph 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