摘要
随着医疗人工智能的日益发展,其应用已扩展并深入到诊疗活动的全生命周期之中,逐渐改变了医疗服务、健康管理模式,提高了诊疗、管理的质量和效率,有利于优化平衡区域医疗资源。本文主要分析医疗人工智能中涉及的机器学习、大数据处理、计算机视觉等关键技术,总结其在基于数据、图像等领域的应用,阐述了医疗人工智能对社会医疗的意义,分析其不足之处,旨在为医疗人工智能技术的发展提供参考依据。
With the increasing development of medical artificial intelligence,its application has expanded and penetrated into the entire life cycle of diagnosis and treatment activities,gradually changing the medical service and health management model,improving the quality and efficiency of diagnosis and treatment and management,and helping to optimize the balance area medical resources.This article mainly analyzes the machine learning,big data processing,computer vision and other key technologies involved in medical artificial intelligence,summarizes its applications in data-based,image and other fields,expounds the significance of medical artificial intelligence to social medicine,and analyzes its shortcomings,It aims to provide a reference for the development of medical artificial intelligence technology.
作者
郑阳
ZHENG Yang(Information Center,the Second Hospital of Nanjing,Nanjing 210003,Jiangsu,China)
出处
《医学信息》
2021年第2期19-22,共4页
Journal of Medical Information
关键词
医疗人工智能
机器学习
大数据
计算机视觉
Mdical artificial intelligence
Machine learning
Big data
Computer vision