Advances in artificial intelligence for integrated diagnostic approaches based on radiomics and pathomics in breast cancer
10.12354/j.issn.1000-8179.2025.20250763
- VernacularTitle:人工智能在乳腺癌影像和病理组学整合诊断中的进展
- Author:
Liu JINGJING
1
;
Xu XIAOTONG
1
;
Zhang YI
1
;
Zhang JIN
1
Author Information
1. 天津医科大学肿瘤医院乳腺三科,国家恶性肿瘤临床医学研究中心,天津市恶性肿瘤临床医学研究中心,乳腺癌防治教育部重点实验室(天津市 300060)
- Publication Type:Journal Article
- Keywords:
artificial intelligence(AI);
breast cancer;
breast cancer screening;
multimodal imaging diagnosis;
pathological diagnosis
- From:
Chinese Journal of Clinical Oncology
2025;52(18):920-925
- CountryChina
- Language:Chinese
-
Abstract:
Breast cancer is the most common malignant tumor in women worldwide,and its incidence rate is increasing annually.Early dia-gnosis is essential for improving patient prognosis.In recent years,artificial intelligence(AI)technology has emerged as a transformative tool,providing new directions for accurate diagnostic and prognostic assessments.This article systematically reviews research progress in the ap-plication of AI to breast cancer screening,multimodal imaging techniques for diagnosis,pathological diagnosis,treatment,and prognostic modeling.Through machine learning and deep learning algorithms,AI has demonstrated significant advantages in the enhancement of dia-gnostic accuracy,efficiency,and accessibility,including improvement of the detection rate of small lesions,reduction in the radiologists'workload,and optimization of treatment decisions.Despite challenges,including the integration of explainable technology in clinical trans-formation,lack of data standardization,complexity of multimodal data,and risk of model generalization,AI is expected to play a more prom-inent role in the precise diagnosis and intelligent therapy for breast cancer,thereby contributing to the full realization of the goal of preci-sion medicine.
