AI Connectome Models Predict Cognitive Performance in Multiple Sclerosis
In a study of 171 people with multiple sclerosis, artificial intelligence models using structural MRI lesion masks estimated brain connectomes ...
In a study of 171 people with multiple sclerosis, artificial intelligence models using structural MRI lesion masks estimated brain connectomes ...
A lightweight dual-branch AI framework called NeuroCST classified Alzheimer's disease stages from MRI scans with 98.42 percent accuracy while using ...
A combined structural and functional MRI study of 62 Parkinson's disease patients found cortical thinning in frontal and motor regions ...
An exploratory analysis of 743 healthy adults found no robust prefrontal-specific MRI marker of cognition, with all reported structure–behavior associations ...
Machine learning of structural MRI and mitochondrial haplogroups can moderately predict a maternal family history of Alzheimer's disease, with precuneus ...
A groundbreaking mega-analysis has shed new light on the intricate dynamics of memory decline associated with aging, uncovering structural brain ...
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