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AI-generated content model applied to brain image computing for Alzheimer’s disease analysis

Generative artificial intelligence (AI), utilizing deep learning to generate a patient’s brain network from multimodal images, has a valuable application in brain network analysis. However, existing data-driven models face challenges, such as relying heavily on extensive high-quality images, potentially resulting in suboptimal models and a failure to accurately assess evolving characteristics in brain networks.