Progress of artificial intelligence application in hematopathology diagnosis
10.13315/j.cnki.cjcep.2025.08.013
- VernacularTitle:人工智能在血液病理诊断中的应用进展
- Author:
Xianwen PENG
1
;
Ningpu BAN
1
;
Mu XIAN
1
;
Qi SUN
1
Author Information
1. 中国医学科学院血液病医院(中国医学科学院血液学研究所)、血液与健康全国重点实验室、国家血液系统疾病临床医学研究中心、细胞生态海河实验室,天津 300020;天津医学健康研究院,天津 301600
- Publication Type:Journal Article
- Keywords:
artificial intelligence;
hematopathology;
deep learning;
machine learning;
literature review
- From:
Chinese Journal of Clinical and Experimental Pathology
2025;41(8):1057-1061
- CountryChina
- Language:Chinese
-
Abstract:
With the rapid advancement of artificial intelligence(AI)technology,its applications in the medical field have been expanding significantly.In the realm of hematopathological diagnosis,the advent of whole slide imaging(WSI)technology has paved the way for AI-based automatic slide reading,which is gradually transforming traditional diagnostic approaches.By establishing and training sophisticated algorithm models,AI,particularly deep learning and machine learning,can accurately and swiftly identify and analyze abnormal cells or tissues,as well as correctly inter-pret immunohistochemical staining results.This not only alleviates the workload of hematopathologists but also shortens the reporting cycle.As a result,it holds substantial application value in the fields of bone marrow pathology and bone marrow cell morphology diagnosis.Moreover,AI also demonstrates broad potential in the analysis of results from flow cytometry,chromosome karyotyping,and next-generation sequencing.Overall,the integration of AI technology is of great significance in propelling the development of intelligent diagnosis in hematopathology.This article aims to provide a comprehensive review of the application of AI in hematopathological diagnosis,and to explore its current status and future prospects.
