Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64685, first published .
Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective Study

Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective Study

Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective Study

Chun-Chi Lai   1, 2 , MSc, MD ;   Cheng-Yu Chen   3, 4, 5, 6, 7 * , MD ;   Tzu-Hao Chang   1, 8 * , PhD

1 Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan

2 Division of General Surgery, Department of Surgery, New Taipei Municipal TuCheng Hospital, New Taipei City, Taiwan

3 Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan

4 Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan

5 Research Center for Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan

6 Department of Radiology, National Defense Medical Center, Taipei, Taiwan

7 Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan

8 Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, Taiwan

*these authors contributed equally

Corresponding Author:

  • Tzu-Hao Chang, PhD
  • Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University
  • 9th Floor, 301 Yuantong Road, Zhonghe District
  • Taipei
  • Taiwan
  • Phone: 886 66202589 ext 10928
  • Email: kevinchang@tmu.edu.tw