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DeepMind readies first commercial product
51–60 of 134 posts
Re: DeepMind readies first commercial product
#52The cost blowout in healthcare isn't due to diagnosis or care but administrative costs. All these diagnostic AIs won't significantly reduce the cost of healthcare nor improve quality. What we really need is automated administration and billings to really move the needle and that's more human bottlenecked than technology.
Re: DeepMind readies first commercial product
#53AI 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…
From what I understand there are tons of MRI applications. If you are looking for something exotic of course you will try to get a human, probably best in the field.
But if you are trying to bring this to masses one can start with with something "simple" like bones or some some relatively trivial organ. Not that MRI prices themselves are dropping much - gotta wait for room temperature superconductors.
Re: DeepMind readies first commercial product
#54The cost blowout in healthcare isn't due to diagnosis or care but administrative costs. All these diagnostic AIs won't significantly reduce the cost of healthcare nor improve quality. What we really need is automated administration and billings to really move the needle and that's more human bottlenecked than technology.
They could be actually better and much faster than humans for initial diagnosis. This has far greater implications, e.g. early detection actually reduces big burden from system.
Re: DeepMind readies first commercial product
#55The cost blowout in healthcare isn't due to diagnosis or care but administrative costs. All these diagnostic AIs won't significantly reduce the cost of healthcare nor improve quality. What we really need is automated administration and billings to really move the needle and that's more human bottlenecked than technology.
The cost blowout is a US thing, diagnostic AIs can be used anywhere. And even if the prices weren't affected (which doesn't seem plausible), this can hugely increase the availability and the timeliness of a reliable diagnosis.
Re: DeepMind readies first commercial product
#56Earlier quoted context omitted.
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Re: DeepMind readies first commercial product
#57The cost blowout in healthcare isn't due to diagnosis or care but administrative costs. All these diagnostic AIs won't significantly reduce the cost of healthcare nor improve quality. What we really need is automated administration and billings to really move the needle and that's more human bottlenecked than technology.
I really don't believe we want more automation in this area. Think of Youtube or Google play store moderation, do you want that for medical billing? And I doubt even 10% of medical costs could be contributed to regular administrative overhead.
Re: DeepMind readies first commercial product
#58The cost blowout in healthcare isn't due to diagnosis or care but administrative costs. All these diagnostic AIs won't significantly reduce the cost of healthcare nor improve quality. What we really need is automated administration and billings to really move the needle and that's more human bottlenecked than technology.
They could be actually better and much faster than humans for initial diagnosis. This has far greater implications, e.g. early detection actually reduces big burden from system.
That has been available since the 1970s. Healthcare is not a very complex compsci issue for 80% of cases. The problem is presentation of symptoms is highly subjective and needs highly complex interpretation that no AI will ever be able to achieve and deal with the liability conundrum
Re: DeepMind readies first commercial product
#59Earlier 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…
It is clear to any mind of intelligence that you cannot give something less information and expect it to give you back better decisions.
Not only that you can - you have to do this to make better decisions. It's called focusing and everyone does it all the time.
Re: DeepMind readies first commercial product
#60Earlier quoted context omitted.
1. Maybe, but that should be a tradeoff that is made consciously with some analysis and care, instead of just jumping over a low FDA bar, which is what everyone in this space seems to be doing. I think there are enough abnormalities that can be fatal which a net would just fill in (e.g. aortic dissection?) 2. There are thousands of different abnormalities. From what I understand about the FDA validation process for t…
It's my understanding it's sometimes exactly those obvious abnormalities that are missed by radiologists.
Adding another lossy step will only make even more anomalies get missed, or worse, misdiagnosed as something else (I'm thinking about the photocopiers that sometimes change numbers in documents).
The argument that "our system is already bad so we should just merge this new bad component because it doesn't make it worse" is bad in software, and unacceptable in medicine.