医疗领域聊天机器人的发展与应用:从传统方法到大语言模型

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

  • 摘要: 随着人工智能技术的快速发展,聊天机器人在医疗领域展现出广阔的应用前景。从个性化健康建议到慢性病管理,再到心理支持,聊天机器人在提高医疗服务效率与质量方面具有显著优势。随着应用范围的扩展,技术的复杂性和实际应用场景之间的关系变得更加紧密,需对二者进行更全面的审视。本文从医疗应用的角度出发,系统梳理聊天机器人在医疗领域的技术路径及发展历程,深入分析其在各类医疗场景中的应用表现,以期为后续研究提供理论支持,并为聊天机器人技术在医疗领域的广泛应用提供可行方案。

     

    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 healthcare 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.

     

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