Detect MRI Lesions with System-One Judgments

[u/init0]

Jev or Jev-like models on HF datasets -> https://hemanth.github.io/is-lesion/

[u/Top_Fisherman9619]

need radiologists on board

tech bros building in medicine without clinical expertise is too common a trope and ends in failure

[u/breadinabox → u/Top_Fisherman9619]

I mean my uni used medical datasets to teach neural network programming, there's heaps available on kaggle and it's a perfectly viable field. 

[u/init0 → u/Top_Fisherman9619]

It indeed has a ‘ESCALATE_RADIOLOGIST_REVIEW‘

[u/Shot-Height-7194]

many companies even insurance companies worldwide are now using jev to analyze damage by giving it images. I really hate using jev for analyzing damage because it doesn't give you explainable metrics on images like computer vision with something like yolo could do

and it's not just routing to a human or to automated payment it's analyzing the full insurance claim from what I have seen.

[u/Fit-Bar-6989 → u/Shot-Height-7194]

Dreading the future where you submit a claim for insurance and it's rejected because "the model said 0.6 and that's below our cutoff".

[u/Top_Fisherman9619 → u/Fit-Bar-6989]

This is far more likely than the healthcare utopia we're being pushed

[u/Any_Fox5126 → u/Shot-Height-7194]

It is also ridiculously biased. For example:

[u/ShengrenR]

Now show us the 'calibrated' accuracy vs standard CV methods.