Validation of a deep learning–based AI system for HER2-targeted breast cancer assessment using ultrasound imaging in a clinical setting
These findings highlight the potential of AI-based imaging tools to support real-time treatment monitoring in breast cancer. The observed trend favoring Herceptin suggests that AI-generated risk scores may serve as non-invasive indicators of treatment efficacy. Broader validation across larger, more diverse cohorts is warranted to confirm these preliminary results and further develop AI-guided oncology workflows.
Authors
- Kathryn K. Malherbe (ORCID: https://orcid.org/0000-0002-7602-0206)
Institutions
- University of Pretoria (ZA)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-08-14
- DOI
- https://doi.org/10.3389/fonc.2025.1639474
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36