北京生物医学工程

人工智能在医学大数据标准化体系建设中的研究进展

Research progress onartificial intelligence in the standardization system construction of medical big data

作者：曾晓天徐春园张勇董国昭唐晓英

单位：北京理工大学生命学院(北京;100081)

关键词：人工智能；医学大数据；标准体系建设；技术应用

分类号：R318.04

出版年·卷·期（页码）：2019·38·6（639-643）

摘要：

人工智能技术和大数据的飞速发展从各方面影响和改变着传统医学模式，为医学大数据标准化体系建设中病历结构化、多源异构数据标准化、个体化，以及人工智能辅助诊断和实现专家会诊等功能提供了新的可能。本文旨在探索目前人工智能领域内可能应用于医学大数据标准化建设的新技术和新思路，利用人工智能配合现有的互联网技术手段，加速医学大数据标准化体系建设的实现。人工智能作为医学大数据标准化的应用终端，对大数据标准化提出了要求，同时，人工智能新技术的应用在医学大数据标准化体系建设上可以发挥更大的作用，有利于促进区域间的合作和标准统一，尽早达到人工智能与医学行业之间的深度融合，推动人工智能与医学大数据的临床应用。

The rapid developments of artificial intelligence technology and big data affect and change the traditional medical model from various aspects, providing a new possibility for the construction of medical big data standardization system, such as the standardization and personalization of structured multi-source heterogeneous data of medical records, as well as the realization of functions such as deep learning assisted standardization image and expert consultation. This paper aims to explore new technologies and new ideas that may be applied in the standardization construction of medical big data in the current field of artificial intelligence and accelerate the realization of the standardization system construction of medical big data by using artificial intelligence and internet technologies. As the application terminal of medical big data standardization, artificial intelligence puts forward requirements for big data standardization. Meanwhile, the new technology application of artificial intelligence can play a more important role in the standardization system construction. It is beneficial to promote cooperation between the region and the unified standards. It can meet the depth of the fusion between artificial intelligence and medical industry, and promote the artificial intelligence and big data in the clinical application.

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