Quality and Risk-of-Bias Appraisal in Systematic Reviews of AI-Based Radiomics for Paediatric Brain Tumour Imaging: A Meta-Research Study

2026 Preprint Open access

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Authors: Leo Hildebrand, Lachlan S. Clarke, Samuel White, Antonios Perperidis, Peter Gorayski, Mikaela Doig, Minh‐Son To
DOI: 10.17605/osf.io/42esn
Cited by: 0

Abstract

This meta-research study examines how methodological quality and risk-of-bias are assessed in systematic reviews of AI-based radiomics applications in paediatric brain tumour imaging. The project identifies published reviews in this field and evaluates the use of appraisal tools to better understand current evidence appraisal practices.

Fields of Study & Subjects

Meta-analysis and systematic reviews Radiomics and Machine Learning in Medical Imaging Artificial Intelligence in Healthcare and Education

Publication details

Publication date
1 January 2026
Language
EN
Document type
Preprint