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AI for medical devices

Published on October 31, 2022   30 min

A selection of talks on Clinical Practice

Please wait while the transcript is being prepared...
0:00
Hello, my name is Rich Gliklich, I'm CEO of OM1, a healthcare data and artificial intelligence company that's focused on personalizing healthcare. Today I'm going to be speaking about using artificial intelligence with medical devices.
0:17
The goals I'm going to try to cover really boil down to these three bullet points. The secret to AI and healthcare, to me, is high-quality, clinically rich, and representative data. I'll explain why. We'll talk about using AI to find patients and select treatments. I'll post some examples from patient identification for the use of AI for value-based care, as well as shared decision-making.
0:41
There are two emerging areas of artificial intelligence that we think about with the greatest applicability to the medical device space. The first, we refer to as patient identification and segmentation. What this really means is finding and targeting patients who are most likely to have a particular diagnosis, and to benefit from therapy. The second, that we'll spend less time on today, is really about the area of clinical decision-making and its application to value-based care. This centers around both being able to identify the riskiest patients, so that they can be accelerated in the path to medical device-related treatments, as well as being able to predict, and describe to them, what their potential outcomes might be.
1:24
One point I'm going to come back to over and over again, is while artificial intelligence is an incredibly powerful tool to be able to develop models that can be used in these ways, really, it's the data underlying the tool, that powers it.