The Usability and Experience of Artificial Intelligence-Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review.

Journal: Journal of clinical nursing
Published Date: Jul 14, 2025

Abstract

BACKGROUND: Artificial intelligence-based conversational agents (CAs) have shown transformative potential in healthcare, yet their application in cancer health education has remained underexplored, particularly regarding usability and patients' experiences. Existing reviews lack a dedicated focus on user perspectives, limiting insights into how CAs can be optimised for patient needs.

Authors

  • Kun Li
    State Key Laboratory of Veterinary Etiological Biology National Foot-and-Mouth Disease Reference Laboratory Lanzhou Veterinary Research Institute Chinese Academy of Agricultural Sciences, Lanzhou, Gansu, China.
  • Siyuan Wu
    Department of Nursing, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Ying Zhang
    Department of Nephrology, Nanchong Central Hospital Affiliated to North Sichuan Medical College, Nanchong, China.
  • Binbin Zhu
    Department of Anesthesiology, Affiliated Hospital of Medical School of Ningbo University, Ningbo University, China.
  • Ziyi Qi
    Department of Nursing, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Sijia Hou
    Department of Neurology, the First Hospital of Shanxi Medical University, Taiyuan, China.
  • Wei Wang
    State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.

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