Radiomic Artificial Intelligence Models Predicting the Response of Colorectal Cancer Liver Metastases to Chemotherapy—A Systematic Review
Radiomics-based AI models show potential in predicting chemotherapy response in CRCLM. However, limited external validation and methodological variability currently restrict clinical applicability. Standardisation and prospective validation are required for clinical translation.
Authors
- Matthew Wei (ORCID: https://orcid.org/0000-0002-5429-4740)
- E. J. Cooper
- Ranjit Singh (ORCID: https://orcid.org/0000-0003-3706-1125)
- Lori J. Wirth (ORCID: https://orcid.org/0000-0002-2629-2289)
- Xin Hui S Chan (ORCID: https://orcid.org/0000-0002-9941-6975)
- Evelyn Hutcheon
- Justin Yeung (ORCID: https://orcid.org/0000-0002-7230-149X)
- Rory Kokelaar (ORCID: https://orcid.org/0000-0002-1076-7294)
Institutions
- The University of Melbourne (AU)
- Western Health (AU)
Publication Details
- Journal
- ANZ Journal of Surgery
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1111/ans.70412
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00