Effects of education level on natural language processing in cardiovascular health communication.

ABSTRACT:

Introduction

Cardiovascular disease (CVD) remains the leading cause of mortality worldwide, underscoring the importance of accessible health communication. Artificial intelligence (AI) tools such as ChatGPT and MediSearch have potential to bridge knowledge gaps, but their effectiveness depends on both accuracy and readability. This study evaluated how natural language processing (NLP) models respond to CVD-related questions across different education levels.

Methods

Thirty-five frequently asked questions from reputable sources were reformatted into prompts representing lower secondary, higher secondary, and college graduate levels, and entered into ChatGPT Free (GPT-4o mini), ChatGPT Premium (GPT-4o), and MediSearch (v1.1.4). Readability was assessed using Flesch-Kincaid Eas

SUBMITTER: Joseph S 

PROVIDER: S-EPMC12657148 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature