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CORRECTION article

Front. Oncol., 15 December 2025

Sec. Breast Cancer

Volume 15 - 2025 | https://doi.org/10.3389/fonc.2025.1741682

Correction: Predicting breast cancer treatment response and prognosis using AI-based image classification

This article is a correction to:

  1. Predicting breast cancer treatment response and prognosis using AI-based image classification

    1. Read original article
Bingyi WangBingyi Wang1Shu Chen*Shu Chen2*Wei LiWei Li3
  • 1Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, NHC Key Laboratory of Cancer Metabolism, Fuzhou, China
  • 2Department of Gastric Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, NHC Key Laboratory of Cancer Metabolism, Fuzhou, China
  • 3Medical School, Yangzhou University, Yangzhou, China

A Correction on
Predicting breast cancer treatment response and prognosis using AI-based image classification

By Wang B, Chen S and Li W (2025) Front. Oncol. 15:1619994. doi: 10.3389/fonc.2025.1619994

Author “Wei Li” was erroneously assigned as corresponding author. The correct corresponding author is “Shu Chen”.

The original version of this article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: breast cancer prognosis, treatment response prediction, latent dynamics modeling, symbolic knowledge infusion, AI in clinical decision support

Citation: Wang B, Chen S and Li W (2025) Correction: Predicting breast cancer treatment response and prognosis using AI-based image classification. Front. Oncol. 15:1741682. doi: 10.3389/fonc.2025.1741682

Received: 07 November 2025; Accepted: 05 December 2025;
Published: 15 December 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Wang, Chen and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Shu Chen, c2Vuc2F5c3BpdmFrQGhvdG1haWwuY29t

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.