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

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

Abstract Background Although CRC incidence is declining overall, early-onset colorectal cancers are increasing. No prognostic models currently exist for predicting postoperative survival in Stage I–III early-onset colon or rectal cancer. Such tools are urgently needed to enable individualized risk a...

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Bibliographic Details
Main Authors: Luyun Yuan, Liyu Wang, Jiamin Gao, Xin Chen, Haoyue Wang, Wei Shan Tan, Kexiang Sun, Yabin Gong, Wanli Deng
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Journal of Translational Medicine
Subjects:
Early-onset colon cancer
Early-onset rectal cancer
Artificial intelligence
Machine learning
SEER
Systemic therapy
Online Access:https://doi.org/10.1186/s12967-025-06663-4
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