this post was submitted on 02 Aug 2024
1484 points (98.4% liked)

Science Memes

11004 readers
2335 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
Sal@mander.xyz
fossilesque@mander.xyz
SciBot@mander.xyz
1484
Breast Cancer (mander.xyz)
submitted 3 months ago by fossilesque@mander.xyz to c/science_memes@mander.xyz
219 comments fedilink hide all child comments
 
you are viewing a single comment's thread
view the rest of the comments
[–] bluefishcanteen@sh.itjust.works 22 points 3 months ago (4 children)

This is a great use of tech. With that said I find that the lines are blurred between "AI" and Machine Learning.

Real Question: Other than the specific tuning of the recognition model, how is this really different from something like Facebook automatically tagging images of you and your friends? Instead of saying "Here's a picture of Billy (maybe) " it's saying, "Here's a picture of some precancerous masses (maybe)".

That tech has been around for a while (at least 15 years). I remember Picasa doing something similar as a desktop program on Windows.

[–] AdrianTheFrog@lemmy.world 18 points 3 months ago (1 children)

I've been looking at the paper, some things about it:

  • the paper and article are from 2021
  • the model needs to be able to use optional data from age, family history, etc, but not be reliant on it
  • it needs to combine information from multiple views
  • it predicts risk for each year in the next 5 years
  • it has to produce consistent results with different sensors and diverse patients
  • its not the first model to do this, and it is more accurate than previous methods
[–] Zwiebel@feddit.org 1 points 2 months ago

Good stuff

[–] pete_the_cat@lemmy.world 6 points 3 months ago (1 children)

It's because AI is the new buzzword that has replaced "machine learning" and "large language models", it sounds a lot more sexy and futuristic.

[–] MathiasTCK@lemmy.world 2 points 3 months ago

Besides LLMs, large language models, we also have GANs, Generative Adversarial Networks.

https://en.wikipedia.org/wiki/Large_language_model

https://en.wikipedia.org/wiki/Generative_adversarial_network

[–] loafty_loafey@lemmy.world 4 points 3 months ago (1 children)

Kinda mean of you calling Billy precancerous masses like that smh

[–] Comment105@lemm.ee 3 points 3 months ago

I don't care about mean but I would call it inaccurate. Billy is already cancerous, He's mostly cancer. He's a very dense, sour boy.

[–] Lets_Eat_Grandma@lemm.ee 3 points 3 months ago

Everything machine learning will be called "ai" from now until forever.

It's like how all rc helicopters and planes are now "drones"

People en masse just can't handle the nuance of language. They need a dumb word for everything that is remotely similar.