The application prospects and challenges of artificial intelligence in interventional radiology
10.3969/j.issn.1008-794X.2023.12.018
- VernacularTitle:人工智能在介入放射学中的运用前景及挑战
- Author:
Zijun HE
1
;
Jian KONG
Author Information
1. 518020 广东深圳 暨南大学第二临床医学院
- Keywords:
artificial intelligence;
machine learning;
interventional radiology
- From:
Journal of Interventional Radiology
2023;32(12):1251-1255
- CountryChina
- Language:Chinese
-
Abstract:
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.(J Intervent Radiol,2023,32:1251-1255)
