Improving the diagnosis of endometrial cancer in postmenopausal women in primary care settings using an artificial intelligence-based ultrasound detecting model

The DL model demonstrated high accuracy and robustness, significantly enhancing the ability to diagnostic assistance for EC through ultrasound in postmenopausal women. This provides substantial clinical value, especially by enabling less experienced physicians in primary care settings to effectively detect EC lesions, ensuring that patients receive timely diagnosis and treatment.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-09-09
DOI
https://doi.org/10.3389/fonc.2025.1646826
Primary Topic
Endometrial and Cervical Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Improving the diagnosis of endometrial cancer in postmenopausal women in primary care settings using an artificial intelligence-based ultrasound detecting model

Ling Dong, Ruoxi Zhang, Nan Wang, Shu Meng et al.
Frontiers in Oncology
Endometrial and Cervical Cancer Treatments
article

Improving the diagnosis of endometrial cancer in postmenopausal women in primary care settings using an artificial intelligence-based ultrasound detecting model

Ling Dong, Ruoxi Zhang, Nan Wang, Shu Meng, Ganjun Zhang
article en

Abstract

The DL model demonstrated high accuracy and robustness, significantly enhancing the ability to diagnostic assistance for EC through ultrasound in postmenopausal women. This provides substantial clinical value, especially by enabling less experienced physicians in primary care settings to effectively detect EC lesions, ensuring that patients receive timely diagnosis and treatment.

Frontiers in OncologyVol. 15
Qiqihar University (CN), Beijing Academy of Artificial Intelligence (CN), Intelligent Health (United Kingdom) (GB), Qiqihar Institute of Engineering (CN), Qiqihar Medical University (CN)
Openalex Percentile: Top 70%
Endometrial and Cervical Cancer Treatments
DOIOpen Access PDFOpenAlex
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Improving the diagnosis of endometrial cancer in postmenopausal women in primary care settings using an artificial intelligence-based ultrasound detecting model — Ling Dong, Ruoxi Zhang, et al. · Frontiers in Oncology (2025) | TGRS Research Map | TGRS