@article{WANG2025, 
author = {Zixing WANG and Le QI and Xiaodan LIAN and Ziheng ZHOU and Aiwei MENG and Xintong WU and Xiaoyuan GAO and Yujie YANG and Yiyang LIU and Wei ZHAO and Xiaolin DIAO},
title = {The Development and Application of Chatbots in Healthcare: From Traditional Methods to Large Language Models},
year = {2025},
journal = {Medical Journal of Peking Union Medical College Hospital},
volume = {16},
number = {5},
pages = {1170-1178},
keywords = {chatbots, large language models, healthcare applications, artificial intelligence},
url = {https://www.sciopen.com/article/10.12290/xhyxzz.2024-0824},
doi = {10.12290/xhyxzz.2024-0824},
abstract = {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.}
}