医学信息2025，Vol.38Issue(4)：44-53,10.DOI:10.3969/j.issn.1006-1959.2025.04.007
基于AI的医疗信息可视化构建与效果评价
Visualization Construction and Effect Evaluation of AI-based Medical Information
摘要
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,attention should be paid to the selection and optimization of model algorithms to improve accuracy and interpretability.In terms of effect evaluation,focus should be placed on clinical impact,patient outcomes and usability evaluation,and communication and feedback with users such as clinicians and patients should be strengthened.关键词
人工智能/医疗信息可视化/构建原则/效果评估/ChatGPTKey words
AI/Medical information visualization/Construction principles/Effect evaluation/ChatGPT分类
医药卫生引用本文复制引用
肖金华..基于AI的医疗信息可视化构建与效果评价[J].医学信息,2025,38(4):44-53,10.基金项目
广东省医学科学技术研究基金项目(编号:B2021362) （编号:B2021362）
