Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study
Vishala Mishra, Ashish Sarraju, Neil Kalwani, Joseph P. Dexter
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.
Topics & Concepts
PreprintCross-sectional studyComputer scienceWorld Wide WebStatisticsMathematicsArtificial Intelligence in Healthcare and EducationArtificial Intelligence in HealthcareMachine Learning in Healthcare