MRI-based multimodal AI model enables prediction of recurrence risk and adjuvant therapy in breast cancer

MRI-based multimodal AI model enables prediction of recurrence risk and adjuvant therapy in breast cancer

Timely intervention and improved prognosis for breast cancer patients rely on early metastasis risk detection and accurate treatment predictions. This study introduces an advanced multimodal MRI and AI-driven 3D deep learning model, termed the 3D-MMR-model, designed to predict recurrence risk in non...

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Bibliographic Details
Main Authors: Yunfang Yu, Wei Ren, Luhui Mao, Wenhao Ouyang, Qiugen Hu, Qinyue Yao, Yujie Tan, Zifan He, Xiaohua Ban, Huijun Hu, Ruichong Lin, Zehua Wang, Yongjian Chen, Zhuo Wu, Kai Chen, Jie Ouyang, Tang Li, Zebang Zhang, Guoying Liu, Xiuxing Chen, Zhuo Li, Xiaohui Duan, Jin Wang, Herui Yao
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Pharmacological Research
Subjects:
Deep learning
Multimodal data fusion
Magnetic resonance imaging
Postoperative risk stratification
Breast cancer
Online Access:http://www.sciencedirect.com/science/article/pii/S1043661825001902
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