Imaging-based Machine-learning Models to Predict Clinical Outcomes and Identify Biomarkers in Osteosarcoma: A Scoping Review Protocol

This scoping review aims to map the available literature regarding the use of imaging-based machine learning (ML) models in patients with osteosarcoma. Specifically, we will investigate models developed to predict clinical outcomes (e.g., survival, metastasis, chemotherapy response) and identify biomarkers. We will also assess the methodological quality and clinical readiness of these studies using the Radiomics Quality Score 2.0 (RQS 2.0) framework and its Radiomics Readiness Levels (RRLs)