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DeepMind readies first commercial product

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31–40 of 134 posts

Re: DeepMind readies first commercial product

#31
post #9

AI is being developed to make MRI scans 10x faster. https://www.forbes.com/sites/samshead/2018/08/20/facebook-ai... If DeepMind is trained on millions of MRI’s, we might have better preventative medicine.

I think this was already achieved in Switzerland without AI: https://www.dagensmedicin.se/artiklar/2018/11/20/en-mix-av-b...

That's Sweden

Re: DeepMind readies first commercial product

#32
post #10
post #9

AI is being developed to make MRI scans 10x faster. https://www.forbes.com/sites/samshead/2018/08/20/facebook-ai... If DeepMind is trained on millions of MRI’s, we might have better preventative medicine.

This assumes that’s what medical companies want. If we get closer to full value based care, then yes.

MRI manufacturers want to develop products that bring on new functionality and ability to justify their prices. A brand new 1.5T scanner easily costs several MIL to make, and for a clinic to purchase one will have to fulfill a business case to justify the purchase. For the clinics, acquiring new service lines (such as adding cardiac) is one such way to do so even in a more value based care setting.

Re: DeepMind readies first commercial product

#34
post #9

AI is being developed to make MRI scans 10x faster. https://www.forbes.com/sites/samshead/2018/08/20/facebook-ai... If DeepMind is trained on millions of MRI’s, we might have better preventative medicine.

I have talked at length with several people in the FastMRI project and in my opinion it is actually very dangerous. There is no feasible way to validate that such a model will not hallucinate normal tissue in the presence of a rare abnormality. The argument often used is that advanced reconstruction techniques such as compressed sensing have not required validating against very rare abnormalities, however when deep n…

I don't have strong feelings about this, but a few thoughts come to mind regarding exploring accelerated MRIs via neural networks.

1. If an MRI can be done 10x faster with the same results except in exceptionally rare cases, might that not still be a win? Order of magnitude reduction in time may translate to substantial reduction in cost and increase opportunity for applications. It seems like it is worth considering whether these benefits might be worth compromising the accuracy of the imaging.

2. How accurate are radiologists at diagnosing / detecting these rare abnormalities that validation might miss? If radiologists are actually pretty mediocre at this, might it be OK to make the scan slightly imperfect if the next stage (the human) is already very imperfect?

Re: DeepMind readies first commercial product

#36
post #28

Earlier quoted context omitted.

I have talked at length with several people in the FastMRI project and in my opinion it is actually very dangerous. There is no feasible way to validate that such a model will not hallucinate normal tissue in the presence of a rare abnormality. The argument often used is that advanced reconstruction techniques such as compressed sensing have not required validating against very rare abnormalities, however when deep n…

To be honest I am highly skeptical that FB would be able to have the sort of institutional capacity to launch any sort of medical device health product. It takes a non trivial amount of effort and time to fully productize it (in terms of system integration/ product testing/ FDA submission). Unless there is involvement with one of the major MRI manufacturers, I don't foresee this going far. Many more players in the ga…

The thing is that because the highest-ROI application of machine learning is online advertising, unquestionably the two deepest pools of machine learning talent are at Google and Facebook. So this may be able to overcome the obvious culture mismatch between "move fast and break things" and the FDA.

Re: DeepMind readies first commercial product

#38
post #20
post #9

AI is being developed to make MRI scans 10x faster. https://www.forbes.com/sites/samshead/2018/08/20/facebook-ai... If DeepMind is trained on millions of MRI’s, we might have better preventative medicine.

"Using AI, it may be possible to capture less data and therefore scan faster, while preserving or even enhancing the rich information content of magnetic resonance images, says Facebook. The key will be to train artificial neural networks to recognise the underlying structure of the images in order to fill in detail omitted from an accelerated scan." Ah, right, what I want is for an ANN to invent information in a med…

I don't care what it has to do, it can be drawing pentagrams in blood for all I care, as long as it has even a fraction better health outcomes to unassisted doctors I'm all for it.

The point here is making people healthy, not providing some sort of validated theoretically clean design. If the rcts say it works, bring on the deep learning voodoo.

(edit: I, for the record, want to trust in average accuracy.)

Re: DeepMind readies first commercial product

#39
post #35

I thought DeepMind's actual first commercial product is Google Cloud Services premium voice generation service (made from WaveNet)

Maybe it's semantics?

Google cloud services voice generation uses models/algorithms developed by DeepMind, it's not directly a DeepMind product.

Re: DeepMind readies first commercial product

#40
post #20

Earlier quoted context omitted.

"Using AI, it may be possible to capture less data and therefore scan faster, while preserving or even enhancing the rich information content of magnetic resonance images, says Facebook. The key will be to train artificial neural networks to recognise the underlying structure of the images in order to fill in detail omitted from an accelerated scan." Ah, right, what I want is for an ANN to invent information in a med…

I don't care what it has to do, it can be drawing pentagrams in blood for all I care, as long as it has even a fraction better health outcomes to unassisted doctors I'm all for it. The point here is making people healthy, not providing some sort of validated theoretically clean design. If the rcts say it works, bring on the deep learning voodoo. (edit: I, for the record, want to trust in average accuracy.)

This is not how trust works
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