this post was submitted on 12 Nov 2024
271 points (96.6% liked)

Technology

59446 readers
3550 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
you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 48 points 6 days ago (21 children)

You need AI to reword this spaghetti of an article. I know plenty of nurses, most of them shouldn’t be making decisions.

But I do agree that slapping AI on everything is a poor idea.

[–] [email protected] 25 points 6 days ago (14 children)

Hasn't AI already been shown to be better at catching things like cancer than humans?

There are some things that computers can be better at than humans.

[–] [email protected] 3 points 5 days ago

Yes... well, sorta. For example, AI was found to be better at identifying TB than medical doctors. The catch here is that it also falsely diagnosed st a much higher rate than doctors. When an investigation was done as to how the AI was evaluating the imaging that it was given, they found that sets of virtually indistinguishable images were given different diagnoses by the AI. In many cases where there were no visible indicators of TB, a positive diagnosis wss given. The reason for this is that the AI was not weighting their TB diagnosis based on markers that doctors would look for alone, but also the age of the machine. Older machines have a much greater chance of being located in developing countries where TB is both more common and more deadly, leading to the age of the machine being considered an important factor, whereas a human would know that the age of a machine has absolutely zero relationship with the chance of getting TB, and doctors in these areas are already aware of and watching out for TB as it's a much more serious illness than in Germany, for example.

Idk much about the cancer thing, but basically the machine learning for diagnosis thing is iffy at best afaik.

load more comments (13 replies)
load more comments (19 replies)