Prognostic prediction model for triple-negative breast cancer using artificial intelligence and ultrasound radiomics
This study demonstrates that an AI-enhanced ultrasound radiomics model can effectively predict postoperative recurrence and metastasis patterns in TNBC, offering a promising non-invasive tool to support personalized prognosis assessment.
Authors
- Jingjing Fan (ORCID: https://orcid.org/0000-0002-1110-5735)
- Hongtao Li (ORCID: https://orcid.org/0000-0001-6366-0741)
- Tong Sha
- Wen Liu
- Yushanjiang Zilalan
Institutions
- Xinjiang Medical University (CN)
- Tumor Hospital of Xinjiang Medical University (CN)
- Xinjiang Institute of Engineering (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-02-24
- DOI
- https://doi.org/10.3389/fonc.2026.1654953
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00