A comparative analysis of CDC and AI-generated health information using computer-aided text analysis

Public health professionals need to educate the general public about the complexity and quality of AI-generated health information. Health literacy programs should address topics about quality and readability of AI-generated content. Other recommendations for using AI-generated health information are provided.

Authors

Anna Young
Foluke Omosun (ORCID: https://orcid.org/0000-0001-8372-3519)

Institutions

Central Connecticut State University (US)

Publication Details

Journal: Journal of Communications In Healthcare
Published: 2025-04-14
DOI: https://doi.org/10.1080/17538068.2025.2487378
Citations: 2
Primary Topic: Artificial Intelligence in Healthcare
Type: article
Field-Weighted Citation Impact: 5.88

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article

A comparative analysis of CDC and AI-generated health information using computer-aided text analysis

Anna Young, Foluke Omosun

Apr 14, 2025

2 citations

Journal of Communications In Healthcare

Artificial Intelligence in Healthcare

5.88

article

A comparative analysis of CDC and AI-generated health information using computer-aided text analysis

Anna Young, Foluke Omosun

April 14, 2025article en

2 citations

Abstract

Journal of Communications In HealthcareVol. 18(3)

Central Connecticut State University (US)

Quality Education

Openalex Percentile: Top 5%

Artificial Intelligence in Healthcare

5.88

DOI Source OpenAlex

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A comparative analysis of CDC and AI-generated health information using computer-aided text analysis — Anna Young, Foluke Omosun · Journal of Communications In Healthcare (2025) | TGRS Research Map | TGRS