Researchers develop AI model to identify biological sex from brain scans
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Researchers developed an AI model that can determine a person's sex from brain scans with over 90% accuracy, supporting theories that there are significant sex differences in brain organization.
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The AI focused on dynamic MRI scans, identifying the default mode network, striatum, and limbic network as key areas for distinguishing between male and female brains.
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Understanding sex differences in the brain could help develop personalized medicine approaches to treating psychiatric and neurological disorders that affect men and women differently.
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The model's high accuracy highlights intrinsic sex differences in brain networks involved in functions like processing information about the self and responding to rewards.
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The findings suggest sex differences in the brain have significant behavioral implications, so overlooking them could hinder understanding and treating neuropsychiatric conditions.