Shypd.aiThe largest open index of AI toolsThis AI model predicts Alzheimer's disease from MRI brain volume loss with 92.87% accuracy. It analyzes anatomical changes in the brain, differing by age and sex, to identify early signs.
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This AI model, developed by WPI researchers, utilizes artificial intelligence to analyze anatomical changes in the brain, specifically focusing on volume loss, to predict Alzheimer's disease with an accuracy of 92.87%. The research, published in the journal Neuroscience, highlights that these anatomical changes vary by age and sex. The model identifies key brain regions like the hippocampus, amygdala, and entorhinal cortex as top predictors of the disease. It can differentiate between normal brains, those with mild cognitive impairment, and those with Alzheimer's, offering a potential method for earlier diagnosis and more effective treatment planning. The study also revealed sex-specific brain changes, with volume loss in the left middle temporal cortex for females and the right entorhinal cortex for males.
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