Grant: Project Grant

This grant proposal aims to establish a comprehensive and sustainable AI framework for the segmentation of multiple sclerosis (MS) lesions in brain and spinal cord MRI scans, and to translate these developments across multiple clinical sites in Canada. The current methods of MRI analysis in radiology are not precise enough for accurate diagnosis and monitoring of MS. This proposal leverages a unique pan-Canadian MRI study to train artificial intelligence algorithms, and implement the MRI acquisition and AI models into clinical sites for sustainability. The goal is to provide a complete picture of MS pathology along the brain-spine axis using an optimised MRI protocol and AI-driven analysis tools. This project will contribute to the advancement of MS diagnosis and monitoring methods. We will dedicate efforts to make these tools available to major MS clinics in Canada and to train local personnel for integration into the clinical workflow. The expected outcome is to provide a clinically relevant understanding of MS pathology and advance diagnosis and monitoring methods.