Leveraging artificial intelligence chatbots for anemia prevention: A comparative study of ChatGPT-3.5, copilot, and Gemini outputs against Google Search results.

ABSTRACT:

Aim

This study evaluated the understandability, actionability, and readability of text on anemia generated by artificial intelligence (AI) chatbots.

Methods

This cross-sectional study compared texts generated by ChatGPT-3.5, Microsoft Copilot, and Google Gemini at three levels: "normal," "6th grade," and "PEMAT-P version." Additionally, texts retrieved from the top eight Google Search results for relevant keywords were included for comparison. All texts were written in Japanese. The Japanese version of the PEMAT-P was used to assess understandability and actionability, while jReadability was used for readability. A systematic comparison was conducted to identify the strengths and weaknesses of each source.

Results

Texts generated by Gemini at the 6th-grade level (n

SUBMITTER: Ito S 

PROVIDER: S-EPMC12020902 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature