This article describes a new study using AI to identify sex differences in the brain with over 90% accuracy.

Key findings:

  • An AI model successfully distinguished between male and female brains based on scans, suggesting inherent sex-based brain variations.
  • The model focused on specific brain networks like the default mode, striatum, and limbic networks, potentially linked to cognitive functions and behaviors.
  • These findings could lead to personalized medicine approaches by considering sex differences in developing treatments for brain disorders.

Additional points:

  • The study may help settle a long-standing debate about the existence of reliable sex differences in the brain.
  • Previous research failed to find consistent brain indicators of sex.
  • Researchers emphasize that the study doesn’t explain the cause of these differences.
  • The research team plans to make the AI model publicly available for further research on brain-behavior connections.

Overall, the study highlights the potential of AI in uncovering previously undetectable brain differences with potential implications for personalized medicine.

  • Womble@lemmy.world
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    8 months ago

    Machine learning has been a subset of artificial inteligence research for decades (like 4 at least).

    • jacksilver@lemmy.world
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      8 months ago

      From a technical perspective yeah, but from a colloquial manner AI and ML have been used interchangeably for years. An issue only made worse by AI now frequently being used to describe GenAI which, while ML, behaves in a manner where it’s somewhat misleading to use AI/ML/Gen AI interchangeably.