Drug Discovery – there are more than 160 startups that use AI as a key differentiator in developing drugs or similar products and show traction, such as via seed funding. The number has grown 5 times in two years and that is only one source of tracking – Bench Science’s blog. That means that this number could be much bigger.
We could also list the following common applications of AI in healthcare:
- Lifestyle management
- Lifestyle monitoring
- Emergency room management
- Hospital management
- Risk analytics
- Insurance rates assessment
- Virtual assistant
Now let’s dive into more details on each of these application sectors for deeper exploration.
AI for Medical Imaging
NFL and NBA athletes get injuries here and there, and ESPN reports are full of the news about MRIs after each playing week. Earning their multi-dollar yearly salary, they could pay for it as easily as Thanos managed to erase
However, if your (or any of your close ones) insurance plan doesn’t cover it fully, you should be well aware that one MRI session would end up drying your wallet for up to $4,000, and even a simple x-Ray could build up a sum up to a grand.
No wonder, then, that a lot of focus has been put on developing cheaper AI imaging. Google DeepMind’s medical image-assistive AI can identify 50 sight-threatening eye diseases. there are AIs that serve as the markers for potential strokes, spot lung and liver lesions.
It doesn’t have to be a difficult platform available only on powerful machines – sometimes it is a low-cost app any modern phone could deal with.
The AI in medical imaging is developing in a huge tempo as it is being sponsored by the giant companies, for instance, Nvidia. The startup called Subtle Medical, the winner of Nvidia’s award, developed SubtlePET, a product that decreases the amount of time and radiotracer dose required for a PET scan (medical image technique often used for cancer diagnosis).
GE Healthcare has developed their Edison Application, a platform that provides comprehensive, actionable insights across medical imaging modalities – the same ones we’ve mentioned higher: MR, CT, X-ray and the ones alike.