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A retrospective multi-centre radiomics study with internal and external validation showing moderate discriminatory performance (AUC 0.790–0.818 on external cohorts) for a clinically relevant surrogate endpoint, but lacking prospective design, hard clinical outcomes, or demonstration of impact on treatment decisions.
Retrospective, single-centre study with modest sample size and surrogate endpoint (mutation status prediction); requires prospective multicentre validation before clinical use, as stated by the authors.
A retrospective single-center study using cross-validation in a small, heterogeneous cohort (152 patients, split by treatment) that reports surrogate endpoints (AUC) rather than clinical outcomes; radiomic findings did not improve on baseline models, limiting clinical utility.
This is a narrative review synthesizing existing literature on AI applications in endometrial cancer; it does not report original empirical results, primary endpoints, or comparative efficacy data from controlled studies, and explicitly acknowledges that prospective clinical evidence remains insufficient.
Future Journal of Pharmaceuticals and Health Sciences
This is a narrative review that raises questions about AI applications in cancer diagnosis and treatment without reporting original data, controlled comparisons, or quantified evidence of clinical outcomes.
Single-center retrospective cohort with internal validation only; machine-learning models show promising discrimination but lack external validation and prospective confirmation required to establish clinical utility.
A well-designed retrospective validation study of a diagnostic nomogram with good discrimination (AUC 0.865 in validation), but modest incremental gain over clinical variables alone and modest sample size requiring external confirmation.
Journal of Pharmaceutical Research and Integrated Medical Sciences
A narrative review of AI applications in nanomedicine oncology that raises conceptual possibilities and identifies research directions rather than reporting empirical results or clinical outcomes.