The data management crisis behind AI-based brain MRI diagnosis:Heterogeneity, governance, and reproducibility
AI-based brain magnetic resonance imaging (MRI) classifiers face a persistent gap between laboratory performance and clinical deployability. We argue the bottleneck is not model architecture but the absence of principled data management infrastructure. Drawing on our ongoing work in explainable multi-disease MRI classi...