临床医学人工智能：典型应用与挑战

被引：14

作者：

孙岳川 ^{[1
]}

高键东 ^{[1
,2
]}

吴及 ^{[1
,2
]}

机构：

[1] 清华大学电子工程系

[2] 清华大学精准医学研究院临床大数据中心

来源：

中国卒中杂志 | 2021年 / 16卷 / 07期

基金：

国家重点研发计划; 北京市自然科学基金;

关键词：

人工智能; 机器学习; 医学应用;

D O I：

暂无

中图分类号：

TP18 [人工智能理论]; R319 [其他科学技术在医学上的应用];

学科分类号：

100103 [病原生物学]; 140502 [人工智能];

摘要：

<正>人工智能的概念最早于1956年在达特茅斯会议上提出,它是研究、开发用于模拟、延伸和扩展人智能的理论、方法、技术及应用系统的一门新的技术科学。人工智能方法具有对多样化问题的适应性,对复杂关系的建模能力,以及远高于人类的计算处理能力。目前人工智能分为多个分支研究领域,包括计算机视觉、自然语言处理及数据挖掘等,

引用

页码：643 / 648

页数：6

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