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

Journal: PEC innovation
Published Date: Apr 1, 2025

Abstract

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

Authors

  • Shinya Ito
    School of Nursing, Kitasato University, 1-15-1, Kitasato, Minami-ku, Sagamihara-city, Kanagawa 252-0373, Japan.
  • Emi Furukawa
    University Hospital Medical Information Network (UMIN) Center, The University of Tokyo Hospital, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
  • Tsuyoshi Okuhara
    University Hospital Medical Information Network (UMIN) Center, The University of Tokyo Hospital, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
  • Hiroko Okada
    University Hospital Medical Information Network (UMIN) Center, The University of Tokyo Hospital, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
  • Takahiro Kiuchi
    University Hospital Medical Information Network (UMIN) Center, The University of Tokyo Hospital, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals