Artificial Intelligence‐Based Pathology to Assist Prediction of Neoadjuvant Therapy Responses for Breast Cancer

Artificial Intelligence‐Based Pathology to Assist Prediction of Neoadjuvant Therapy Responses for Breast Cancer

ABSTRACT Background Neoadjuvant therapy (NAT) is a standard breast cancer treatment, but patient response varies significantly. Predictive markers can guide treatment decisions, yet their interpretation suffers from inter‐pathologist variability due to breast cancer's complex histology and hete...

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Bibliographic Details
Main Authors: Juan Ji, Fanglei Duan, Qiong Liao, Hao Wang, Shiwei Liu, Yang Liu, Zongyao Huang
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Cancer Medicine
Subjects:
artificial intelligence
breast cancer
neoadjuvant therapy
pathology
prediction
Online Access:https://doi.org/10.1002/cam4.71132
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