[1]冯馨锐,吴韦铷,张晓丽,等.人工智能辅助血细胞形态学检查的机遇与挑战[J].现代检验医学杂志,2025,40(01):189-195.[doi:10.3969/j.issn.1671-7414.2025.01.036]
　FENG Xinrui,WU Weiru,ZHANG Xiaoli,et al.Opportunities and Challenges of Artificial Intelligence Assisted Blood Cell Morphology Examination[J].Journal of Modern Laboratory Medicine,2025,40(01):189-195.[doi:10.3969/j.issn.1671-7414.2025.01.036]
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人工智能辅助血细胞形态学检查的机遇与挑战()
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《现代检验医学杂志》[ISSN:/CN:]

卷:
第40卷
期数:
2025年01期
页码:
189-195
栏目:
质量控制·实验室管理
出版日期:
2025-01-15

文章信息/Info

Title:
Opportunities and Challenges of Artificial Intelligence Assisted Blood Cell Morphology Examination
文章编号:
1671-7414（2025）01-189-07
作者:
冯馨锐; 吴韦铷; 张晓丽; 杨 忠; 毕清华
（中国人民解放军陆军军医大学药学与检验医学系临床血液学教研室，重庆400038 ）
Author(s):
FENG Xinrui; WU Weiru; ZHANG Xiaoli; YANG Zhong; BI Qinghua
(Department of Clinical Hematology, College of Pharmacy and Laboratory Medicine Science, Army Medical University，Chongqing 400038, China)
关键词:
人工智能; 血细胞; 形态学检查; 临床应用
分类号:
R446
DOI:
10.3969/j.issn.1671-7414.2025.01.036
文献标志码:
A
摘要:
血细胞形态学检查是血液病诊断的基础和重要手段。人工智能（AI）辅助血细胞形态学检查在早期检测和诊断血液病方面弥补了人工显微镜检查方法的不足，提高了诊断效率、准确度和敏感度，很大程度上降低了人力和时间成本，明显提升医疗质量和推动个性化医疗。目前国内临床仍以传统人工镜检为标准方法，为推动人工智能辅助血细胞形态学检查的完善和发展，该文讨论了人工智能辅助血细胞形态学检查的现状及特点，考虑到自动化血细胞形态学分析的标准化、数据库和伦理等问题，对其仍存在的一些挑战和局限性进行总结分析，可以支持血液疾病的诊断，并在未来为研究人员和临床医生提供帮助。
Abstract:
Blood cell morphology examination is the foundation and important means of diagnosing blood diseases. Artificial intelligence (AI) assisted blood cell morphology examination compensates for the shortcomings of artificial microscopy in the early detection and diagnosis of blood diseases, improves diagnostic efficiency, accuracy, and sensitivity, greatly reduces labor and time costs, significantly improves medical quality, and promotes personalized health care. Traditional manual microscopy is still the standard method in clinical practice in China. In order to encourage the improvement and development of intelligenceassisted blood cell morphology examination, this article discusses the current situation and characteristics of intelligence-assisted blood cell morphology examination. Considering the standardization, database, and ethical issues of automated blood cell morphology analysis, some challenges and limitations are summarized and analyzed, which can support the diagnosis of blood diseases and assist researchers and clinical doctors in the future.

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[1]杨 华a,孙天舒b,王 瑶c,等.人工智能辅助阅片与单纯人工阅片在女性阴道微生态系统形态学诊断中的比对研究[J].现代检验医学杂志,2023,38(01):169.[doi:10.3969/j.issn.1671-7414.2023.01.032]
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备注/Memo

备注/Memo:
基金项目：陆军军医大学教育改革研究课题（项目编号：2022B08）。
作者简介：冯馨锐（1994-），女，硕士研究生，助教，研究方向：医学检验技术， E-mail：fengxr@tmmu.edu.cn。
通讯作者：毕清华（1992-），女，在职博士研究生，助教，研究方向：医学检验技术， E-mail：qinghua.bi@tmmu.edu.cn。
更新日期/Last Update: 2025-01-15