Google Successfully Uses Machine Learning To Detect Diabetic Retinopathy (betanews.com)
BrianFagioli writes from a report via BetaNews: Diabetic eye disease is caused by retinopathy. Affected diabetics can have small tears inside the eye, causing bleeding. Over time, they can lose vision, and ultimately, they can go blind. Luckily, Google has been trying to use machine learning to detect diabetic retinopathy. Guess what? The search giant has seen much success. Not only are the computers able to detect the disease at the same level as ophthalmologists, but Google is actually slightly better! "A few years ago, a Google research team began studying whether machine learning could be used to screen for diabetic retinopathy (DR). Today, in the Journal of the American Medical Association, we've published our results: a deep learning algorithm capable of interpreting signs of DR in retinal photographs, potentially helping doctors screen more patients, especially in underserved communities with limited resources," says Lily Peng, MD Ph.D., Product Manger at Google. She goes on to say "our algorithm performs on par with the ophthalmologists, achieving both high sensitivity and specificity. [...] For example, on the validation set described in Figure 2, the algorithm has a F-score of 0.95, which is slightly better than the median. F-score of the 8 ophthalmologists we consulted (measured at 0.91)."
Did something similar with one of these phones for a project in my master's curriculum. My team characterized different eye conditions and applied DSP to cancel out the effects. It worked OK. Basically what we were doing was to mask a spot on the retina or priapism of the cornea's reticulum.
They're also really good at diagnosing sex addiction. Google gives every user a Porn Score from 0 to 99 based on your search history. I was thrilled to receive a bug bounty for causing an integer overflow.
HPS will do the same, or so I have read.
Thrilling.
So now you'll know even sooner that you're going to lose your eyesight eventually.... I suppose this might give you more opportunity to prepare for it, but I expect all that it will actually do is give you more time to be dreading the future.
File under 'M' for 'Manic ranting'
I don't see anyone calling this AI except you. Whatever pattern matching you use to determine when to deploy this garbage stock comment, I think it has misfired here. ..or, wait, do you also have some pointless objection to calling this machine learning?
Let's not stir that bag of worms...
...Google told us they could predict outbreaks of colds and flu? Let's wait and see how well their latest attempts at diagnosis and prediction go.
The article is available here: http://jamanetwork.com/journals/jama for 11/29/16 together with 3 editorials. In addition to the ophthalmology piece details of the convergence of clinical medicine and information technology are discussed particularly as regards pathology and radiology. There is no question that this is important stuff. The bottom line is that the machine demonstrates a high correlation with the humans Everyone knows what criteria the humans are using No one knows what criteria the machine is using because it taught itself.
Let me know when it's better than a retinologist...
I guess I understand that if you live in the sticks, you make do with what you have. I suppose there are diabetics who see general practitioners or family medicine doctors instead of endocrinologists, but that seems like a bad idea, too.
Google Successfully Uses Machine Learning To Detect Diabetic Retinopathy
So now this means Google will have an even better health plan for their employees?