Advances in artificial intelligence-assisted medical imaging analysis for transplant kidney function assessment
10.3760/cma.j.cn421203-20241120-00230
- VernacularTitle:AI辅助医学影像分析在移植肾功能评估中的研究进展
- Author:
Mengmeng ZHENG
1
;
Yichen ZHU
1
Author Information
1. 首都医科大学附属北京友谊医院泌尿外科，北京 100050
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Deep learning;
Kidney transplantation;
Kidney function
- From:
Chinese Journal of Organ Transplantation
2025;46(9):665-669
- CountryChina
- Language:Chinese
-
Abstract:
In recent years, artificial intelligence (AI), particularly image recognition technology and neural network models based on deep learning, has demonstrated immense potential in the field of medical imaging analysis. Through its automated and standardized high-efficiency data analysis capabilities, AI has effectively enhanced the accuracy of disease diagnosis and treatment decision-making. In the field of kidney transplantation, AI exhibits significant advantages in preoperative donor kidney function evaluation, postoperative dynamic monitoring of graft function, and identification of rejection episodes. This review summarizes the latest research progress on the application of AI in assessing renal graft function, focusing on its use in computed tomography (CT), magnetic resonance imaging (MRI), and pathological image analysis, and discusses future directions for its development.
