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Cyclopath
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PostMon Feb 17, 2020 9:15 pm 
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Interesting article on BBC.  They don't make clear how much of this is actually possible/production-ready now vs a promising idea, but it points to a rosy future.  Or if you really hate progress, a dystopian nightmare, but most of the signals they evaluate in theory aren't available to your insurer.


The invisible warning signs that predict your future health

Tests of Face2Gene’s system show that it shortlisted the correct syndrome 91% of the time, outperforming human doctors in spotting patients with conditions such as Angelman syndrome and Cornelia de Lange syndrome.

Early diagnosis of rare genetic syndromes like these means that medical treatments can be delivered more promptly – while sparing families the diagnostic odyssey that identifying these conditions often involves.

...

In a pilot project, Franc is working with a team to study whether changes in brain metabolism that show up in these PET scans can be used to predict if someone might develop Alzheimer’s disease, a condition that affects 10% of people over the age of 65.

Using AI, they have developed algorithms that are capable of spotting these subtle changes in metabolism, in this case the uptake of glucose in certain areas of the brain, which are thought to occur early on in the development of Alzheimer’s disease. In tests on sets of images from 40 patients it had never seen before, the algorithm was able to detect the disease on average six years before human doctors finally diagnosed them with Alzheimer’s.
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Randito
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Joined: 27 Jul 2008
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Location: Bellevue at the moment.
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PostMon Feb 17, 2020 10:03 pm 
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Cyclopath wrote:
40 patients

The media certainly does like to hype up some results from sample groups that are far to small to indicate anything -- except for an opportunity to fund a larger study to determine if there might be an actual discovery vs a statistical anomaly.
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Cyclopath
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PostMon Feb 17, 2020 10:11 pm 
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On the other hand:

They trained an AI on retina scans from 284,335 patients. By looking for patterns in the crisscross of blood vessels, the machine learned to spot the tell-tale signs of cardiovascular disease.
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alpendave
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PostThu Feb 20, 2020 4:10 pm 
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AI is aortic insufficiency. 🙄

--------------
Like a ray of sunshine in a drought stricken land.

What we do does far more than what we think others ought to do. Inspiration is a far greater power for good than coercion. In your own life, show others the good that you wish to see in the world.
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PostFri Feb 21, 2020 12:58 pm 
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Cyclopath wrote:
On the other hand:

They trained an AI on retina scans from 284,335 patients. By looking for patterns in the crisscross of blood vessels, the machine learned to spot the tell-tale signs of cardiovascular disease.

and what was the correct diagnosis rate?
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Cyclopath
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PostFri Feb 21, 2020 1:56 pm 
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Better than the correct diagnosis rate for a human doctor.
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Jumble Jowls
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PostFri Feb 21, 2020 8:30 pm 
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AI has more potential for good and harm that most people realize.   Everyone would welcome it being used to assist medical diagnosis.    But when it's used for other purposes, it's a little creepy.  Like this:

https://www.bbc.com/future/article/20190416-the-ai-border-guards-you-cant-reason-with

I'm sure you see the broader ramifications.
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