Beyond predictive performance: A systematic review and critical methodological appraisal of AI/ML and conventional modelling strategies in breast, colorectal, and pancreatic Cancer

Artificial Intelligence in Medicine

DOI: 10.1016/j.artmed.2026.103506 OpenAlex

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References 6

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
2024 BMJ article Decision Sciences Meta-analysis and systematic reviews Open access cited by 3 patents

3,889

citations
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review
2022 BMC Medical Research Methodology review Mathematics Statistical Methods in Epidemiology Open access

138

citations
Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved
2021 Journal of Clinical Epidemiology article Decision Sciences Meta-analysis and systematic reviews Open access

110

citations
Novel machine learning algorithm can identify patients at risk of poor overall survival following curative resection for colorectal liver metastases
2022 Journal of Hepato-Biliary-Pancreatic Sciences article Medicine Colorectal Cancer Surgical Treatments Open access

21

citations
Machine Learning versus Cox Models for Predicting Overall Survival in Patients with Osteosarcoma: A Retrospective Analysis of the EURAMOS-1 Clinical Trial Data
2024 Cancers article Medicine Sarcoma Diagnosis and Treatment Open access

8

citations
Nonmetastatic Axillary Lymph Nodes Have Distinct Morphology and Immunophenotype in Obese Patients with Breast Cancer at Risk for Metastasis
2023 American Journal Of Pathology article Computer Science AI in cancer detection Open access

6

citations

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