Application of artificial intelligence in tissue structure recognition and pathological diagnosis of kidney biopsy
10.3760/cma.j.cn441217-20230821-00829
- VernacularTitle:人工智能在肾活检组织结构识别及病理诊断中的应用
- Author:
Xinyu WANG
1
;
Dingdan ZHANG
;
Weixia HAN
;
Chen WANG
;
Rongshan LI
Author Information
1. 山西医科大学第二医院病理科，太原 030001
- Keywords:
Artificial intelligence;
Deep learning;
Pathology;
Biopsy;
Pathological features;
Aids in diagnosis
- From:
Chinese Journal of Nephrology
2024;40(5):403-410
- CountryChina
- Language:Chinese
-
Abstract:
Renal biopsy has been an essential part of the diagnosis and management of kidney disease. In recent years, the rapid development of artificial intelligence (AI) technology based on convolutional neural networks has significantly facilitated its utilization in nephrology. This article focuses on the research of AI in the recognition of tissue structure and pathological diagnosis of kidney biopsy. It elaborates on the identification and segmentation of kidney tissue structure and pathological features, as well as its auxiliary role in disease diagnosis across three dimensions: light microscopy, immunofluorescence, and electron microscopy. The aim is to provide a reference for the application of AI in renal pathology research and precision medicine.
