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I'm working with a few people on ML applications for medical image segmentation, in Finland and south east Asia. I think ML aided diagnosis will be commonplace

by dharma1 10y ago

I'm working with a few people on ML applications for medical image segmentation, in Finland and south east Asia. I think ML aided diagnosis will be commonplace pretty soon. Here in the UK, DeepMind has been doing interesting work on retinal and radiology images with NHS. While I agree that large enough quantities of labeled data and legal access to it can be hard to get, interestingly, there are many more low hanging fruit in medtech space that don't necessarily have anything to do with machine learning. Take hospital IT software for instance. Doctors literally waste double digit percentage of their time wrestling with really bad legacy software. Even the really expensive solutions, like Epic Systems, is horrible. I am hopeful that better options will become available and future public health budgets don't get wasted on the kind of systems that exists now

amelius 10y ago
The interesting part is that a lot of effort is already being made to improve those systems. I even know a family doctor who was working in his spare time on improving IT infrastructure.
- deleted 10y ago
  [deleted]
- Axsuul 10y ago
  Could I connect with that family doctor you know? I love speaking with technology-minded individuals in healthcare. My contact info is hello@james.hu Thanks!
FLUX-YOU 10y ago
Saving time and disparate product integrations are definitely the main requests I see from them. We buy a ton of crap to do patient care and people want widgets that talk with everything. Then someone decides those products are out of date, and so the widgets need to be rewritten. Then there are budget constraints because the hospital's goal isn't to have very quick EMRs running on beefy hardware/infrastructure. But naturally if you show them how much time/money is wasted waiting on a slow database call, it gets ignored. Google should write EMR software. They would probably be pretty good at it.
- dharma1 10y ago
  "Google should write EMR software. They would probably be pretty good at it." They (Google DeepMind) are actually doing it for the NHS. I was surprised how much of their work with NHS seems to be UI/UX and "normal" backend/client engineering, rather than ML. It looks very good. I hope they are going to open source it. https://youtu.be/KF1KhuoX2w4?t=25m36s https://youtu.be/KF1KhuoX2w4?t=25m36s

by dharma1 10y ago

amelius 10y ago

The interesting part is that a lot of effort is already being made to improve those systems. I even know a family doctor who was working in his spare time on improving IT infrastructure.

deleted 10y ago
[deleted]
Axsuul 10y ago
Could I connect with that family doctor you know? I love speaking with technology-minded individuals in healthcare. My contact info is hello@james.hu Thanks!

FLUX-YOU 10y ago

Saving time and disparate product integrations are definitely the main requests I see from them. We buy a ton of crap to do patient care and people want widgets that talk with everything. Then someone decides those products are out of date, and so the widgets need to be rewritten. Then there are budget constraints because the hospital's goal isn't to have very quick EMRs running on beefy hardware/infrastructure. But naturally if you show them how much time/money is wasted waiting on a slow database call, it gets ignored. Google should write EMR software. They would probably be pretty good at it.

dharma1 10y ago
"Google should write EMR software. They would probably be pretty good at it." They (Google DeepMind) are actually doing it for the NHS. I was surprised how much of their work with NHS seems to be UI/UX and "normal" backend/client engineering, rather than ML. It looks very good. I hope they are going to open source it. https://youtu.be/KF1KhuoX2w4?t=25m36s https://youtu.be/KF1KhuoX2w4?t=25m36s