this post was submitted on 27 Feb 2024
165 points (87.7% liked)

Technology

59589 readers
2838 users here now

This is a most excellent place for technology news and articles.

Our Rules

  1. Follow the lemmy.world rules.
  2. Only tech related content.
  3. Be excellent to each another!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots

founded 1 year ago
MODERATORS
L3s@lemmy.world
L3s@fry.gs
L4s@fry.gs
L4s@lemmy.world
enu@lemmy.world
165
AI Determines Sex of Person From Brain Scans - Neuroscience News (neurosciencenews.com)
submitted 9 months ago by Squire1039@lemm.ee to c/technology@lemmy.world
58 comments fedilink hide all child comments
 

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.

you are viewing a single comment's thread
view the rest of the comments
[–] orclev@lemmy.world 81 points 9 months ago (19 children)

I would be curious what this would predict for trans (including those both on and off hormone therapy), intersex, or homosexual individuals. My guess is that at a minimum in those cases it's accuracy of predicting either their gender or sex would be very poor, although it would be absolutely fascinating if it accurately predicted their gender rather than their sex. The opposite result (predicting sex but not gender) would also be interesting but less so.

[–] FaceDeer@kbin.social 55 points 9 months ago (11 children)

I'd be very interested in those results too, though I'd want everyone to bear in mind the possibility that the brain could have many different "masculine" and "feminine" attributes that could be present in all sorts of mixtures when you range afield from whatever statistical clusterings there might be. I wouldn't want to see a situation where a transgender person is denied care because an AI "read" them as cisgender.

In another comment in this thread I mentioned how men and women have different average heights, that would be a good analogy. There are short men and tall women, so you shouldn't rely on just that.

[–] parens@programming.dev 1 points 8 months ago (2 children)

There are short men and tall women, so you shouldn’t rely on just that.

I don't think that's a fair comparison. Height is a single value. If you trained an AI on that, it would be guessing. A brain has many, many more parameters to take into consideration when going into an artificial neural network.

[–] FaceDeer@kbin.social 1 points 8 months ago (1 children)

That just makes my point stronger, though. The basic gist of what I was saying is that even if there is a statistical clustering of data into two groups that seem correlated with some category, that doesn't mean that you can absolutely rely on that data to classify people into those categories.

[–] parens@programming.dev 1 points 8 months ago

The more data you have, the more confident you can be that the resulting categorisation is correct. If you're saying this is incorrect, I disagree with you. If you're saying absolute confidence that the categories themselves are correct is impossible, then I agree with you

load more comments (8 replies)
load more comments (15 replies)