Advancements in artificial intelligence for ultrasound diagnosis of ovarian cancer: a comprehensive review

被引：0
作者：
Tang, Chenxin [1 ]
Xu, Zhenbin [2 ]
Duan, Hongpeng [2 ]
Zhang, Shengmin [2 ]
机构：
[1] Ningbo Univ, Hlth Sci Ctr, Ningbo, Peoples R China
[2] Ningbo Univ, Affiliated Hosp 1, Dept Ultrasound Med, Ningbo, Peoples R China
来源：
FRONTIERS IN ONCOLOGY | 2025年 / 15卷
关键词：
artificial intelligence; ultrasound imaging; ovarian cancer; machine learning; deep learning; MALIGNANCY; MULTICENTER; PREDICTION; IMAGES; RISK; CT;
D O I：
10.3389/fonc.2025.1581157
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
Ovarian cancer, as a common gynecological malignancy, is often found at an advanced stage clinically. Thus, improving the early diagnosis of ovarian cancer is crucial for the survival rate of patients. Ultrasound examination is the main method for ovarian cancer screening, but it is greatly influenced by the operator's experience and technique, increasing the risk of misdiagnosis and missed diagnosis. Artificial intelligence uses computers to learn from input data and has already made significant progress in image recognition. Applying artificial intelligence to ultrasound diagnosis of ovarian cancer can enhance diagnostic accuracy, providing earlier treatment for patients. This article reviews the current application of artificial intelligence in the ultrasound diagnosis of ovarian cancer, in order to provide a reference for subsequent clinical diagnosis and treatment.
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页数：8
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