甲状腺影像检查的人工智能应用进展  

Application Progress of Artificial Intelligence in Thyroid Imaging

作　　者：邱永康 陈钊 杨琦 康磊[1] QIU Yongkang;CHEN Zhao;YANG Qi;KANG Lei(Department of Nuclear Medicine,Peking University First Hospital,Beijing 100034,China)

机构地区：[1]北京大学第一医院核医学科,北京100034

出　　处：《中国医学影像学杂志》2022年第7期747-752,共6页Chinese Journal of Medical Imaging

基　　金：国家自然科学基金面上项目(82171970,81871385);北京市杰出青年科学基金项目(JQ21025);北京大学临床医学+X青年项目(PKU2021LCXQ023);中国科学院过程工程研究所生化工程国家重点实验室开放基金(2020KF-01)。

摘　　要：甲状腺疾病的发病率近年不断升高。甲状腺疾病的诊断主要依靠影像分析,但肉眼观察能够发现的信息有限,难以进行全面分析,而且诊断依赖医师的主观判断。人工智能是一门能够模拟与延伸人的智能、方法与技术的技术科学,它可以提取和量化关键的图像信息,使图像诊断从主观的定性任务转变为客观的定量分析。本文将对近年基于影像学资料的人工智能技术辅助诊断甲状腺疾病的相关研究进行综述.The incidence of thyroid diseases has been increasing in recent years.The diagnosis of thyroid diseases mainly depends on medical imaging analysis,but the information found by naked eye is limited.It is difficult to conduct a comprehensive analysis for doctors,and the diagnosis depends on doctors'subjective judgment.Artificial intelligence is a technical science that can simulate and extend human intelligence,methods and technologies.It can extract and quantify key image information,so as to transform image diagnosis from subjective qualitative task to objective quantitative analysis.This paper will review the recent researches on artificial intelligence assisted diagnosis of thyroid diseases based on imaging data.

关 键 词：甲状腺疾病 人工智能 诊断 鉴别 综述 

分 类 号：R581[医药卫生—内分泌] R445[医药卫生—内科学]