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Published on: December 6, 2024
Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model:
Vishala Mishra1, Ashish Sarraju2, Neil M Kalwani3,4
1Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, United States.
None:
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.
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