Creating strong predictive models in oncology.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 41726098.
- Also identified by DOI 10.1016/j.patter.2026.101492 and PMC identifier 12921501.
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Abstract
Many oncology predictive models fail to improve care. Issues include risks of bias, underpowered radiomics studies, and limited clinical impact. A path forward involves an emphasis on clinically actionable questions, rigor, and generalizability.