The application of ultrasound artificial intelligence in the diagnosis of endometrial diseases: Current practice and future development

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成果类型：

期刊论文

作者：

Wei, Qiao;Xiao, Zhang;Liang, Xiaowen;Guo, Zhili;Zhang, Yanfen;...

通讯作者：

Chen, ZY

作者机构：

[Wei, Qiao; Zhang, Yanfen; Guo, Zhili; Liang, Xiaowen; Chen, Zhiyi] Univ South China, Affiliated Changsha Cent Hosp, Coll Hunan Prov, Hengyang Med Sch,Key Lab Med Imaging Precis Theran, Changsha, Peoples R China.

[Wei, Qiao; Xiao, Zhang; Guo, Zhili; Liang, Xiaowen; Chen, Zhiyi] Univ South China, Inst Med Imaging, Hengyang Med Sch, Hengyang, Peoples R China.

[Wei, Qiao; Xiao, Zhang] Univ South China, Dept Comp Sci & Technol, Hengyang, Peoples R China.

[Xiao, Zhang] Univ South China, Coll Mech Engn, Hengyang, Peoples R China.

[Zhang, Yanfen; Chen, Zhiyi] Univ South China, Affiliated Changsha Cent Hosp, Hengyang Med Sch, Dept Med Imaging, Changsha, Peoples R China.

通讯机构：

[Chen, ZY ] U

Univ South China, 28 Changsheng West Rd, Hengyang, Peoples R China.

语种：

英文

关键词：

Artificial intelligence;deep learning;disease diagnosis;endometrium;ultrasound images

期刊：

DIGITAL HEALTH

ISSN：

2055-2076

年：

2025

卷：

页码：

20552076241310060

DOI：

10.1177/20552076241310060

基金类别：

Clinical Research 4310 Program of the Affiliated Changsha Central Hospital of the University of South China, National Natural Science Foundation of China, Health Research Project of Hunan Provincial Health Commission [20214310NHYCG06, W20241010, 82102054, 82402372]

机构署名：

本校为第一且通讯机构

院系归属：

机械工程学院

计算机科学与技术学院

摘要：

Diagnosis and treatment of endometrial diseases are crucial for women's health. Over the past decade, ultrasound has emerged as a non-invasive, safe, and cost-effective imaging tool, significantly contributing to endometrial disease diagnosis and generating extensive datasets. The introduction of artificial intelligence has enabled the application of machine learning and deep learning to extract valuable information from these datasets, enhancing ultrasound diagnostic capabilities. This paper reviews the progress of artificial intelligence in ultrasound image analysis for endometrial diseases,...

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The application of ultrasound artificial intelligence in the diagnosis of endometrial diseases: Current practice and future development

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