How AI Will Change the Way Medicine Will be Practiced & Delivered Forever

September 15, 2020


When you think about artificial intelligence and automation in health care today, you think about the power and potential impact this could have on the quality of care, speed of care, and cost of care. All of it has to do with the insights that you can derive from images and then how you can deliver those in an effortless way to the physician. That is our core.

Using Images and AI to Empower Physicians

Most people will say images are just like data and in the world of health care, there is a lot of data. The difference is that images are pixel data. It would be like looking at a photo and trying to understand the context of that photo, and how that image relates to others. If you think of the millions of different scenarios and how much information is in a picture that you quickly digest, each one of those is essentially a landmark.

Images are undervalued, and that is because there is more information in images than we're utilizing today. Artificial intelligence will not only be used to help physicians interact, display, and connect images with information but also look within the images to reveal the underlying pixels. With a platform approach, we can connect those findings to patient outcomes and simultaneously practice healthcare and medicine smarter while also empowering the physicians to be faster.

Real AI Visualization Use Cases

Let's look at what you can build-out of a platform like this when you have domain expertise in image processing as our company has, and you put them together in a dashboard view and say, "What are some of the near-term use cases that we could build-out of a solution like this?"

In oncology, you're almost always measuring something that's either shrinking or growing. You want to do that over multiple time points. So think about the power of a dashboard view that we can create where the system will automatically look at the historical information of the patient, automatically measure the images of that patient, and then give you more information about whether it's growing or shrinking. Without a doubt, patient care will be impacted, and physicians will be better empowered.

The key thing here is that this doesn't take more time or training. The physician already knows what to do with this information. So, our job is to go into the historical files and look prospectively at best practices, put those together in a dashboard, and deliver it in a completely seamless way in the systems they already use.

Cross-Industry Potential

Imagine that you take this same platform that is contributing remarkable new workflows in healthcare, and on the backend, it doesn't know it's in healthcare. It's receiving images and information that are kicking off image processing and then generating images and information. So, you end up with a platform that is both open and interoperable, but it also can function in a closed-loop.

When we built this platform from the ground up, we did it with an entirely fresh approach. This platform is so powerful, open, and unique that unlike systems that are typical, in radiology imaging, for example, can operate on TIFFS, PDF’s, music files, and any type of MIME file. Truly, any type of file can be an input or an output on this platform. And it doesn't just have to run on images, it can also run on information.

If you look at it like a nerve center that's able to instantiate AI algorithms and then create the insights that are used by others and run in a closed-loop, you could apply this to all kinds of different use cases. Whether that be in commercial applications or military applications, really the sky is the limit in what's possible with this platform.

25 Question to Ask Before Investing in an AI Platform_6.4.2020

25 Questions to Ask Before Investing in an AI Platform


Download List Now

You May Also Like

These Stories on Advanced Visualization

Subscribe by Email

No Comments Yet

Let us know what you think