We are here at AWS re:Invent,
and one of the most interesting conversations we're having is about
the future of medicine and clinical AI. With that in mind, we have Dr.
Liz Kah, who is with me now.
She focuses on innovation at Aidoc, the leader in clinical AI.
Doctor Kah, great to have you with us.
Thank you.
So first and foremost, what is clinical AI?
It's a great question.
People do define clinical AI differently, but really when we say clinical AI,
we're talking about the clinical space with providers and patients and having AI
that can help
augment the decisions of providers to enhance the outcomes for patients.
How is Aidoc using these technologies in medicine?
It’s a really great question. The evolution of
AI that we've seen over the last few years has been incredibly exciting.
And at Aidoc we take an intelligent design approach
to designing the AI solutions that we provide.
We start with the problem. So what is the problem
that the health system, the provider, the patient is experiencing?
And then we try to build the best solution to solve that problem that we can.
Often that's actually a multimodal AI solution and we're happy to announce
that we just committed $30 million to building a new foundation model
which should enable us to develop AI algorithms faster,
to expand our medical use cases,
and to really change the benchmark for precision in clinical AI.
And at the end of the day, this makes doctor’s jobs easier?
Yeah, right. It augments
the physicians we aid the doctors in the work that they're doing.
So that's where your name came from? Yes.
What challenges is the industry facing right now?
I imagine that they're numerous.
Yes, there are many, many challenges.
One that we see a lot and we've heard a lot about lately is fragmentation.
So there might be one company that develops a great algorithm.
That's a point solution for a problem a hospital is experiencing.
And then
that company integrates with that hospital's systems and provides the solution.
And then there's another company
that does the same thing, another company that does the same thing.
So as you can imagine, there's a lot of fragmentation,
duplication of efforts, redundancy and also confusion, quite honestly.
So what we decided to do at Aidoc is build a platform for clinical AI.
So we call it our AIOS, and we invested a lot of time and money
into building a platform that could host all different types of clinical AI.
So whatever AI the hospital wants to use, we can host it with one single integration
on our platform infrastructure, and also enables us to be able to leverage
third party algorithms as well.
So if there's an algorithm that exists that someone else has that’s
best in class, we don't necessarily need to create that algorithm ourselves.
We can host their algorithm on our platform.
So I think the future is really about less fragmentation,
more consolidation, and more partnership and collaboration.
That sounds like a great vision.
Thank you very much. Dr. Liz Kah. Thanks.