Artificial Intelligence and Radiomics Driving Progress in Precision Breast Cancer Management
10.3969/j.issn.1005-5185.2025.10.001
- VernacularTitle:人工智能和影像组学助力乳腺癌精准诊疗
- Author:
Jing LI
1
;
Yiting ZHAO
;
Shunan CHE
Author Information
1. 国家癌症中心 国家肿瘤临床医学研究中心 中国医学科学院北京协和医学院肿瘤医院核医学科(PET-CT 中心),北京 100021;国家癌症中心 国家肿瘤临床医学研究中心 中国医学科学院北京协和医学院肿瘤医院影像诊断科,北京 100021
- Publication Type:Journal Article
- Keywords:
Breast neoplasms;
Magnetic resonance imaging;
Ultrasonography;
Mammography;
Radiomics;
Artificial intelligence;
Deep learning;
Precision medicine
- From:
Chinese Journal of Medical Imaging
2025;33(10):1025-1029
- CountryChina
- Language:Chinese
-
Abstract:
Precision management of breast cancer is essential for improving patient outcomes.Radiomics enables high-throughput extraction of quantitative imaging features that reflect tumor biological behavior and heterogeneity from medical imaging data.With the rapid advancement of artificial intelligence(AI),particularly deep learning,feature extraction capability and model performance in radiomics have been significantly enhanced.Based on multimodal imaging modalities such as MRI,ultrasound and mammography,AI-and radiomics-based models can address key clinical challenges including tumor diagnosis,staging,molecular subtype prediction and therapeutic response assessment,thereby facilitating precision breast cancer care.This review summarizes recent advances in AI-driven radiomics for breast cancer diagnosis and treatment and discusses future application prospects and challenges toward clinical translation.
