[1]郑 阳.医疗人工智能的关键技术及应用[J].医学信息,2021,34(02):19-22.[doi:10.3969/j.issn.1006-1959.2021.02.006]
　ZHENG Yang.Key Technology and Application of Medical Artificial Intelligence[J].Medical Information,2021,34(02):19-22.[doi:10.3969/j.issn.1006-1959.2021.02.006]
点击复制

医疗人工智能的关键技术及应用()

医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
34卷
期数:
2021年02期
页码:
19-22
栏目:
出版日期:
2021-01-15

文章信息/Info

Title:
Key Technology and Application of Medical Artificial Intelligence
文章编号:
1006-1959（2021）02-0019-04
作者:
郑 阳
（南京市第二医院信息中心，江苏 南京 210003）
Author(s):
ZHENG Yang
(Information Center,the Second Hospital of Nanjing,Nanjing 210003,Jiangsu,China)
关键词:
医疗人工智能; 机器学习; 大数据; 计算机视觉
Keywords:
Mdical artificial intelligence; Machine learning; Big data; Computer vision
分类号:
R691.3；R372
DOI:
10.3969/j.issn.1006-1959.2021.02.006
文献标志码:
B
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。
Abstract:
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.

参考文献/References:

[1]熊娅先,尚志会,张国发,等.人工智能在医疗领域中的应用与挑战[J].计算机时代,2020,7(31):112-114. [2]徐维维,彭沪,杨佳芳,等.人工智能在医疗健康领域的应用与发展前景分析[J].中国医疗管理科学,2019,9(5):37-41. [3]兰欣,卫荣,蔡宏伟,等.机器学习算法在医疗领域中的应用[J].医疗卫生装备,2019,40(3):93-97. [4]史婷瑶,马金刚,曹慧,等.医疗大数据隐私保护技术的研究进展[J].中国医疗设备,2019,34(5):163-166. [5]李靖超,王龙翔,董春蕾.基于机器学习的医疗影像辅助诊断系统设计[J].上海电机学院学报,2020,23(3):132-137. [6]任浩,尚传强,徐果.人工智能在医疗领域的发展给卫生监督带来的挑战及对策[J].中国卫生监督杂志,2019, 26(6):547-551.

相似文献/References:

[1]李 轩,王子为,赵靖萱,等.肿瘤预后预测领域机器学习应用的文献计量与热点可视化分析[J].医学信息,2022,35(09):90.[doi:10.3969/j.issn.1006-1959.2022.09.023]
　LI Xuan,WANG Zi-wei,ZHAO Jing-xuan,et al.Visualization Analysis on Bibliometrics and Hot Spots of Machine Learning Applications in the Field of Tumor Prognosis Prediction[J].Medical Information,2022,35(02):90.[doi:10.3969/j.issn.1006-1959.2022.09.023]
[2]周 阳,王 妮,黄艳群,等.基于社区居民健康大数据预测高血压的患病风险[J].医学信息,2020,33(06):1.[doi:10.3969/j.issn.1006-1959.2020.06.001]
　ZHOU Yang,WANG Ni,HUANG Yan-qun,et al.Risk of Hypertension Based on Big Data of Community Residents’ Health[J].Medical Information,2020,33(02):1.[doi:10.3969/j.issn.1006-1959.2020.06.001]
[3]朱 光,邓弘林.大数据背景下医院门诊挂号预约爽约行为预测研究[J].医学信息,2020,33(22):13.[doi:10.3969/j.issn.1006-1959.2020.22.004]
　ZHU Guang,DENG Hong-lin.An Investigation of Predicting Patient Missing Appointment Behavior Under the Big Data Background[J].Medical Information,2020,33(02):13.[doi:10.3969/j.issn.1006-1959.2020.22.004]
[4]李言生,龚后武,栗翊超,等.基于真实世界数据的疾病风险预测研究[J].医学信息,2020,33(23):17.[doi:10.3969/j.issn.1006-1959.2020.23.006]
　LI Yan-sheng,GONG Hou-wu,LI Yi-chao,et al.Research on Disease Risk Prediction Based on Real World Data[J].Medical Information,2020,33(02):17.[doi:10.3969/j.issn.1006-1959.2020.23.006]
[5]佟金铎,郭凤英,翟 兴,等.基于用户画像的患者就医影响因素研究[J].医学信息,2021,34(02):11.[doi:10.3969/j.issn.1006-1959.2021.02.004]
　TONG Jin-duo,GUO Feng-ying,ZHAI Xing,et al.Study on the Influencing Factors of Patient Medical Treatment Based on User Portrait[J].Medical Information,2021,34(02):11.[doi:10.3969/j.issn.1006-1959.2021.02.004]
[6]富 坤,李佳宁.LncRNA-疾病关联预测方法研究[J].医学信息,2023,36(04):166.[doi:10.3969/j.issn.1006-1959.2023.04.036]
　FU Kun,LI Jia-ning.Research on LncRNA-disease Association Prediction Method[J].Medical Information,2023,36(02):166.[doi:10.3969/j.issn.1006-1959.2023.04.036]
[7]凌 天,焦 阳,狄碧云,等.面向机器学习的智慧诊疗语料库构建研究[J].医学信息,2023,36(10):6.[doi:10.3969/j.issn.1006-1959.2023.10.002]
　LING Tian,JIAO Yang,DI Bi-yun,et al.Research on the Construction of Intelligent Diagnosis and Treatment Corpus for Machine Learning[J].Medical Information,2023,36(02):6.[doi:10.3969/j.issn.1006-1959.2023.10.002]
[8]段永飞,高继学,倪建鑫,等.基于人工智能学习模型在结节性硬化症相关肾血管平滑肌脂肪瘤诊疗中的研究[J].医学信息,2023,36(11):171.[doi:10.3969/j.issn.1006-1959.2023.11.037]
　DUAN Yong-fei,GAO Ji-xue,NI Jian-xin,et al.Research on the Diagnosis and Treatment of Tuberous Sclerosis Complex-associated Renal Angiomyolipoma Based on Artificial Intelligence Learning Model[J].Medical Information,2023,36(02):171.[doi:10.3969/j.issn.1006-1959.2023.11.037]
[9]左雨露,吴 宇,杨锦鹏,等.基于机器学习的血脂新特征构建及其在冠状动脉粥样硬化中的应用[J].医学信息,2024,37(01):29.[doi:10.3969/j.issn.1006-1959.2024.01.005]
　ZUO Yu-lu,WU Yu,YANG Jin-peng,et al.Construction of New Blood Lipid Features Based on Machine Learning and its Application in Coronary Atherosclerosis[J].Medical Information,2024,37(02):29.[doi:10.3969/j.issn.1006-1959.2024.01.005]
[10]卜凡靖.基于生物信息学和机器学习的克罗恩病关键基因筛选和免疫浸润分析[J].医学信息,2025,38(04):10.[doi:10.3969/j.issn.1006-1959.2025.04.002]
　BU Fanjing.Key Gene Screening and Immune Infiltration Analysis of Crohn＇s Disease Based on Bioinformatics and Machine Learning[J].Medical Information,2025,38(02):10.[doi:10.3969/j.issn.1006-1959.2025.04.002]

更新日期/Last Update: 1900-01-01