WANG Zixing, QI Le, LIAN Xiaodan, ZHOU Ziheng, MENG Aiwei, WU Xintong, GAO Xiaoyuan, YANG Yujie, LIU Yiyang, ZHAO Wei, DIAO Xiaolin. The Development and Application of Chatbots in Healthcare: From Traditional Methods to Large Language ModelsJ. Medical Journal of Peking Union Medical College Hospital, 2025, 16(5): 1170-1178. DOI: 10.12290/xhyxzz.2024-0824
Citation: WANG Zixing, QI Le, LIAN Xiaodan, ZHOU Ziheng, MENG Aiwei, WU Xintong, GAO Xiaoyuan, YANG Yujie, LIU Yiyang, ZHAO Wei, DIAO Xiaolin. The Development and Application of Chatbots in Healthcare: From Traditional Methods to Large Language ModelsJ. Medical Journal of Peking Union Medical College Hospital, 2025, 16(5): 1170-1178. DOI: 10.12290/xhyxzz.2024-0824

The Development and Application of Chatbots in Healthcare: From Traditional Methods to Large Language Models

  • With the rapid advancement of artificial intelligence technology, chatbots have shown great potential in the healthcare sector. From personalized health advice to chronic disease management and psychological support, chatbots have demonstrated significant advantages in improving the efficiency and quality of healthcare services. As the scope of their applications expands, the relationship between technological complexity and practical application scenarios has become increasingly intertwined, necessitating a more comprehensive evaluation of both aspects. This paper, from the perspective of he althcare applications, systematically reviews the technological pathways and development of chatbots in the medical field, providing an in-depth analysis of their performance across various medical scenarios. It thoroughly examines the advantages and limitations of chatbots, aiming to offer theoretical support for future research and propose feasible recommendations for the broader adoption of chatbot technologies in healthcare.
  • loading

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return