Application of artificial intelligence in palliative care: a bibliometric analysis of research hotspots and trends.

Journal: Frontiers in medicine
Published Date: May 21, 2025

Abstract

BACKGROUND: Palliative care, essential for improving quality of life in patients with serious illnesses, faces challenges such as resource limitations, workforce shortages, and the complexity of personalized care. AI's capabilities in data analysis and decision-making offer opportunities to optimize symptom management, predict end-of-life risks, and tailor care plans. However, existing research emphasizes isolated AI technologies rather than systematic evaluations of its developmental trajectory in palliative care, particularly through bibliometric and visualization studies. This gap obscures trends in technological applications, interdisciplinary collaboration pathways, and research hotspots, potentially hindering AI's practical innovation in the field.

Authors

  • Mingxia Pan
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Renling Huang
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Chenxi Liu
    Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, United States of America.
  • Yuanfang Xiong
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Na Li
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Huan Peng
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Yongqi Liang
    Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, China.
  • Weisheng Gu
    Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, China.
  • Hanjiao Liu
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.

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