this post was submitted on 03 May 2026
143 points (94.4% liked)

Technology

84324 readers
6488 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 news or articles.
  3. Be excellent to each other!
  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, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
  9. Check for duplicates before posting, duplicates may be removed
  10. Accounts 7 days and younger will have their posts automatically removed.

Approved Bots


founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
[–] FauxLiving@lemmy.world 24 points 11 hours ago* (last edited 11 hours ago) (1 children)

False positives are at least as dangerous as false negatives and AI solutions like this have massive problems with over diagnosing.

Absolutely 100% wrong.

In pancreatic ductal adenocarcinoma, a false positive means a follow-up scan. A false negative means death, the 5-year survival is near zero once it's caught late, but exceeds 80% when caught early.

In the study, the radiologists' lower false positive rate is achieved by missing 78% of cancers. That's not a safer trade-off, it's just a different way to fail. "Overdiagnosis" also requires a disease that might not have harmed the patient, PDA doesn't have a harmless form. Every missed case is a lost life while every false positive is an extra doctor's appointment.

This system detects twice as many cancers and was flagging them, on average, 675 days (nearly 2 years!) before clinical detection.