Readability analysis of breast cancer resources shared on X-implications for patient education and the potential of AI.

Journal: Breast cancer research and treatment
Published Date: Aug 6, 2025

Abstract

PURPOSE: Breast cancer remains a global public health burden. This study aimed to evaluate the readability of breast cancer articles shared on X (formerly Twitter) during Breast Cancer Awareness Month (October 2024), and it explores the possibility of using artificial intelligence (AI) to improve readability.

Authors

  • Melanie J Wang
    Department of Surgery, Section of Plastic Surgery, University of Michigan, Ann Arbor, MI, USA.
  • Aref Rastegar
    Department of Surgery, Section of Plastic Surgery, University of Michigan, Ann Arbor, MI, USA.
  • Theodore A Kung
    Section of Plastic Surgery, University of Michigan, Ann Arbor, Michigan.

Keywords

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