this post was submitted on 02 Aug 2024
1485 points (98.4% liked)

Science Memes

14707 readers
1177 users here now

Welcome to c/science_memes @ Mander.xyz!

A place for majestic STEMLORD peacocking, as well as memes about the realities of working in a lab.



Rules

  1. Don't throw mud. Behave like an intellectual and remember the human.
  2. Keep it rooted (on topic).
  3. No spam.
  4. Infographics welcome, get schooled.

This is a science community. We use the Dawkins definition of meme.



Research Committee

Other Mander Communities

Science and Research

Biology and Life Sciences

Physical Sciences

Humanities and Social Sciences

Practical and Applied Sciences

Memes

Miscellaneous

founded 2 years ago
MODERATORS
 
(page 2) 50 comments
sorted by: hot top controversial new old
[–] MonkderVierte@lemmy.ml 11 points 10 months ago* (last edited 10 months ago)

Btw, my dentist used AI to identify potential problems in a radiograph. The result was pretty impressive. Have to get a filling tho.

[–] MadBob@feddit.nl 11 points 10 months ago (1 children)

I had a housemate a couple of years ago who had a side job where she'd look through a load of these and confirm which were accurate. She didn't say it was AI though.

load more comments (1 replies)
[–] PlantDadManGuy@lemmy.world 11 points 10 months ago (8 children)
[–] tigeruppercut@lemmy.zip 7 points 10 months ago (1 children)
load more comments (1 replies)
load more comments (7 replies)
[–] Melonpoly@lemmy.world 10 points 10 months ago

Can't pigeons do the same thing?

[–] elrik@lemmy.world 7 points 10 months ago (1 children)

Ductal carcinoma in situ (DCIS) is a type of preinvasive tumor that sometimes progresses to a highly deadly form of breast cancer. It accounts for about 25 percent of all breast cancer diagnoses.

Because it is difficult for clinicians to determine the type and stage of DCIS, patients with DCIS are often overtreated. To address this, an interdisciplinary team of researchers from MIT and ETH Zurich developed an AI model that can identify the different stages of DCIS from a cheap and easy-to-obtain breast tissue image. Their model shows that both the state and arrangement of cells in a tissue sample are important for determining the stage of DCIS.

https://news.mit.edu/2024/ai-model-identifies-certain-breast-tumor-stages-0722

[–] TankovayaDiviziya@lemmy.world 4 points 10 months ago* (last edited 10 months ago) (2 children)

How soon could this diagnostic tool be rolled out? It sounds very promising given the seriousness of the DCIS!

load more comments (2 replies)
load more comments
view more: ‹ prev next ›