Web-based explainable machine-learning tool for predicting five-year recurrence of colorectal cancer after curative resection: multicentre retrospective cohort study
The proposed AI-CDSS delivers personalised five-year recurrence-risk estimates for patients with colorectal cancer within 1 s via an intuitive web interface, facilitating evidence-based, patient-centred treatment decisions grounded in local population data.
Authors
- Hung‐Sheng Shang (ORCID: https://orcid.org/0000-0002-4831-1866)
- Ming-Jr Jian
- Hsing‐Yi Chung (ORCID: https://orcid.org/0000-0002-7870-8354)
- Cherng-Lih Perng
- Chi‐Sheng Chen
- Tai‐Han Lin (ORCID: https://orcid.org/0000-0002-6100-3120)
- Chaoyang Chen (ORCID: https://orcid.org/0000-0002-8095-399X)
- Wen-Yen Huang
- Chih-Kai Chang
- Yu‐Chun Lin (ORCID: https://orcid.org/0000-0002-1679-7064)
- Ping-Ying Chang
Institutions
- National Defense Medical Center (TW)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-11-04
- DOI
- https://doi.org/10.1007/s12672-025-03840-1
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Tri-Service General Hospital
- National Science and Technology Council