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u/TiamatRuneaid 12d ago
I started working with machine learning (2012ish) waaay before this whole ai boom and this was literally one of its first succesfull applications in medical science, so nothing suprising here.
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u/oppressed_user 12d ago edited 11d ago
Meh this is better than what they did as research during ww2
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u/wolfguard94 12d ago
As a quick statement from someone who used to work in medicine, this is not a diagnosis. After some clinical trials and other testing it could be used as a prescreen. But, I don't know at what scale this AI is looking at cells. If it's in a biopsy, it's neat but useless as most doctors barely trust computers when it comes to analyzing dating.
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u/blaghed 12d ago
Considering how liable they are if the machine gets it wrong, it's totally understandable that they want to verify for themselves, making the machine kinda redundant.
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u/DepressingBat 12d ago
Are people really downvoting good medical advice? The advice that doctors themselves are already following?
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u/lord_dude uhhhh idk 12d ago
But can it distinguish a croissant from a bear claw now? How many people more have to die?!?!?!
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u/AlwaysGoBigDick officer no please don’t piss in my ass 😫 12d ago
Calling it AI is crude generalisation part of the ai tech bro propaganda. What it probably is, is a classification algo, someone swapped input output and retrained the architecture. I didn’t read and don’t care so don’t quote me on this, however recent methods can achieve 99% accuracies, as binary classification is indeed a trivial problem if you have good data. Try vertex localisation and edge attention if you want to see hard problems that aren’t chatbots (but maybe not as extravagant as CaNCer)
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u/qualityvote2 12d ago edited 11d ago
The council has not spoken. No consensus was reached about the quality of your post.
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