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FDA permits marketing of AI-based device to detect diabetes-related eye problems
101–104 of 104 posts
Re: FDA permits marketing of AI-based device to detect diabetes-related eye problems
#102Earlier quoted context omitted.
I got a book on TF last year and saw all the examples were fairly short and was impressed with the power. However it took me a good three months before I could reason about why reach line was there. It's pretty complex stuff that takes a while to even understand, let alone actually write.
After I wrote the above comment I remembered that just because there are few lines of code doesn't mean it's trivial to compose those actual lines. Some of the most elegant code is terse, but it takes years of education, experience, and intelligence to be able to produce that logic.
A lot of machine learning in particular is like that. The best practitioners have very strong intuitive understandings of the data and the modeling problem, which is what allows them to construct effective models (wrt capacity, training algorithm, topology, use of certain optional training procedure additions). I would liken their job to that of a doctor writing a prescription: it doesn't take much to write the prescription itself, but it takes mastery to be able to analyze the problem and write the best prescription
Re: FDA permits marketing of AI-based device to detect diabetes-related eye problems
#103Earlier quoted context omitted.
They generally treat compute devices as black boxes. Performance is all that matters. But once an artifact is submitted, it's locked down. That and only that will be approved. You change a resistor, an if-then, it goes back to FDA.
What about learning? Would an update with more data and updated coefficients require going back to the FDA?
Yeah that was what I was getting at.
Re: FDA permits marketing of AI-based device to detect diabetes-related eye problems
#104I think the title is fine, but a lot of the comments are applying what the software does to medicine in general. What this software is used for is very specific, but also very useful in that it is a common medical problem. It is used only to help diagnose diabetic retinopathy (ie eye damage caused by diabetes). This is AI Vision software used to analyze a photograph of someone's retina to detect damage. In essence it…
Eric Schmidt (former Google chairman) proposed building an AI scribe during his HIMSS 2018 conference keynote address. He claimed it should be possible within 10 years. I hope he's right, but I suspect he underestimates the difficulty of building reliable clinical systems. http://www.himssconference.org/education/sessions/keynote-sp...
Thank you for the link, this is what I'm interested in.