Dr. Camilo R. Gomez

speaker
242 appearances 1 recordings 1 series first heard Jul 2026 last heard 31 Jul

Dr. Camilo R. Gomez’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

Appearances

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In fact, that technology does exist already.
It's being polished.
I think I will see it in my lifetime, whether I will apply it myself or not, I don't know yet, but it will be applicable without a doubt.
Yeah, in our line of work, interventional neurology is very image-driven.
We use imaging to diagnose.
We use imaging to monitor.
We use imaging to treat patients.
As it turns out, for example, if you look at a CT scan or any diagnostic study,
There are a certain amount of... It comes in black and white and shades of gray.
There's only so many details, so many pixels that the human brain can discriminate between one and the next one next to it.
Artificial intelligence, on the other hand, can have a computer look at that same picture and discriminate more.
So, for example...
It is possible, and actually those systems do exist, and we use them on a daily basis, where they can detect the volume of tissue that is being affected by a stroke when the patient presents, and that sometimes is...
one of the determining factors for us to do an intervention or not, because we know, for example, that beyond a certain threshold, the volume of tissue, if injured completely, would cause disability, while smaller volumes of tissue, when they're affected, will not cause disability.
So the benefit versus risk of intervention needs to change between one or the other situation.
And it calculates the amount of volume in cc's, in cubic centimeters.
And it compares it to other forms of volume.
And it allows it to detect, for example, if the tissue is already injured beyond repair.
Yeah.
There is no point in taking somebody to the catheterization laboratory to do an intervention when the tissue is already permanently injured because we're not solving any problem and we're actually creating more.
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