OncoE25: an AI model for predicting postoperative prognosis in early-onset stage I-III colon and rectal cancer—a population-based study using SEER with dual-center cohort validation
In summary, we selected the RSF model for its outstanding predictive performance, naming it OncoE25, to support personalized health management for EO colon and rectal patients.
Authors
- Kexiang Sun
- Lu-Yun Yuan
- Wanli Deng
- Liyu Wang
- Xin Chen (ORCID: https://orcid.org/0000-0002-6546-9892)
- Haoyue Wang (ORCID: https://orcid.org/0000-0002-0486-5429)
- Wei Tan (ORCID: https://orcid.org/0009-0002-0824-0095)
- Yabin Gong (ORCID: https://orcid.org/0000-0002-6811-101X)
- Jiamin Gao (ORCID: https://orcid.org/0009-0005-7860-6437)
Institutions
- Shanghai University of Traditional Chinese Medicine (CN)
- Yueyang Hospital (CN)
- Central Hospital of Putuo District (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-06-22
- DOI
- https://doi.org/10.1186/s12967-025-06663-4
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 5.44