人工智能在介入放射学中的运用前景及挑战  

The application prospects and challenges of artificial intelligence in interventional radiology

作　　者：何梓君 孔健[1] HE Zijun;KONG Jian(Second Clinical Medical College of Jinan University,Shenzhen,Guangdong Province 518020,China)

机构地区：[1]暨南大学第二临床医学院,广东深圳518020

出　　处：《介入放射学杂志》2023年第12期1251-1255,共5页Journal of Interventional Radiology

摘　　要：随着人工智能在医学领域的研究逐步深入,未来将极大地改变介入诊疗的工作流程。本文围绕人工智能在介入诊疗中的应用展开详述,涵盖了使用预测模型对高危患者的筛查、治疗方案的选择、通过增强现实技术改善手术治疗、对年轻医生的培养等方面,同时也分析了目前人工智能在临床实际应用中遇到的困难与挑战。With the gradual deepening of artificial intelligence(AI)research in the medical field,the workflow of interventional diagnosis and treatment will be greatly changed.This paper aims to make a detailed introduction about the application of AI in interventional diagnosis and treatment,focusing on the use of predictive model for the screening of high-risk patients,the selection of treatment options,the use of augmented reality(AR)technology for improving surgical treatment,the training of young physicians,etc.Besides,the difficulties and challenges currently encountered in the clinical practice of AI are also discussed.

关 键 词：人工智能 机器学习 介入放射学 

分 类 号：R445[医药卫生—影像医学与核医学]