We are doing that. That’s why we’re showing our poster in World Lung. Basically, what we do is we, you know, healthcare system, we work for Memorial Healthcare System. It’s a large healthcare system in Broward County, Miami, Florida. We do 250,000 CAT scans per year in our healthcare system. So there is no way that the nurses or navigators can review all of these CAT scan results...
We are doing that. That’s why we’re showing our poster in World Lung. Basically, what we do is we, you know, healthcare system, we work for Memorial Healthcare System. It’s a large healthcare system in Broward County, Miami, Florida. We do 250,000 CAT scans per year in our healthcare system. So there is no way that the nurses or navigators can review all of these CAT scan results. So we use artificial intelligence to screen these 250,000 reports. And then the artificial intelligence program that we have for Illuminate selects around 4,000 reports that are suspicious because they have nodules and they have large nodules and things like that. Then our navigators start to follow these reports and try to figure out which patients are suspicious that need further workup, meaning to be seen by a pulmonologist, a surgeon, CAT scan, PET scan, biopsy, and which patients know. For example, if you are a 20-year-old with a 3-millimeter nodule, the chance of lung cancer is probably zero. If you are a 60-year-old who’s been smoking with a 1-centimeter nodule, you have a very high chance of needing to go for a workup. So that’s the way that we do. And doing that, implementing that, we have diagnosed in two years around 120 patients with lung cancer, compared with only 20 in the conventional lung screening that we’re waiting for the patients to come to the hospital.
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