Science Memes

11047 readers

2836 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

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

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

Research Committee

[email protected]

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

[email protected]

1514

Breast Cancer (mander.xyz)

submitted 3 months ago by [email protected] to c/[email protected]

263 comments fedilink hide all child comments

you are viewing a single comment's thread
view the rest of the comments

[–] [email protected] 9 points 3 months ago (2 children)

Yea none of us are going to see the benefits. Tired of seeing articles of scientific advancement that I know will never trickle down to us peasants.

[–] [email protected] 1 points 3 months ago

... they said, typing on a tiny silicon rectangle with access to the whole of humanity's knowledge and that fits in their pocket...

[–] [email protected] 5 points 3 months ago* (last edited 3 months ago) (1 children)

Our clinics are already using ai to clean up MRI images for easier and higher quality reads. We use ai on our cath lab table to provide a less noisy image at a much lower rad dose.

[–] [email protected] 1 points 3 months ago (1 children)

It never makes mistakes that affect diagnosis?

[–] [email protected] 2 points 3 months ago

It’s not diagnosing, which is good imho. It’s just being used to remove noise and artifacts from the images on the scan. This means the MRI is clearer for the reading physician and ordering surgeon in the case of the MRI and that the cardiologist can use less radiation during the procedure yet get the same quality image in the lab.

I’m still wary of using it to diagnose in basically any scenario because of the salience and danger that both false negatives and false positives threaten.