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

doi:10.2196/55388

Journal of Medical Internet Research (Apr 2024)

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

Affiliations

Vishala Mishra: ORCiD
Ashish Sarraju: ORCiD
Neil M Kalwani: ORCiD
Joseph P Dexter: ORCiD

DOI: https://doi.org/10.2196/55388
Journal volume & issue: Vol. 26
p. e55388

Abstract

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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.

Published in Journal of Medical Internet Research

ISSN: 1438-8871 (Online)
Publisher: JMIR Publications
Country of publisher: Canada
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Medicine: Public aspects of medicine
Website: https://www.jmir.org

About the journal