摘要：随着人工智能(AI)的日渐普及，其对医疗信息可视化构建原理与效果评价标准将产生巨大影响。本文通过对以往五年Google学术搜索和Web of Science等数据库收集的文献进行全面回顾和系统梳理，发现基于AI的医疗信息可视化构建应加强用户需求分析和个性化定制，确保信息呈现方式和内容符合用户需求。同时，应注意模型算法的选择和优化，提高准确性和可解释性。在效果评估方面，应重点关注临床影响、患者结果和可用性评估，并加强与临床医生、患者等用户的交流与反馈。

    关键词：人工智能；医疗信息可视化；构建原则；效果评估；ChatGPT

    中图分类号：R-05；TP393.09" " " " " " " " " " " " 文献标识码：A" " " " " " " " " " " " " " " DOI：10.3969/j.issn.1006-1959.2025.04.007

    文章编号：1006-1959(2025)04-0044-10

    Visualization Construction and Effect Evaluation of AI-based Medical Information

    XIAO Jinhua

    (Department of Library Information Literacy， Guangdong Pharmaceutical University， Guangzhou 510000， Guangdong， China)

    Abstract： As artificial intelligence (AI) becomes more and more popular， it will have a huge impact on the construction principles and effect evaluation standards of medical information visualization. Through a comprehensive review and systematic combing of literature collected from databases such as Google Scholar and Web of Science in the past five years， the study found that the construction of medical information visualization based on AI should strengthen user demand analysis and personalized customization to ensure that the information presentation method and content meet user needs. At the same time ......