Research app uses artificial intelligence to detect, manage endometriosis

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Research app uses artificial intelligence to detect, manage endometriosis
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Chloe Nordquist is a national journalist for the E.W. Scripps Company. She has a passion for telling community stories and giving a voice to the voiceless. Chloe has had the opportunity to report across the world, as far as Milan and Berlin. Previously she worked at news stations in California’s Central Valley and Southwest Florida.

“Patients can track their day-to-day experiences of disease and based on this data, we can first of all tell people who don't have an official diagnosis whether they look like they should go see and consult with a specialty gynecologist, because their profile of symptoms looks a lot like the one of an endometriosis patient,” said Dr. Noémie Elhadad, an associate professor and the chair of biomedical informatics at Columbia University.

“There’s a long lag to diagnosis, and so by the time women have an actual official diagnosis of endometriosis they've spent many, many years without any treatment often,” Dr. Elhadad said. That’s where Phendo and artificial intelligence comes in, giving users a platform to log symptoms and see certain patterns. The artificial intelligence tool could help improve screening, and potentially identify a pattern or signature to spot potential cases. It could also help you decipher what does and doesn’t work for you when it comes to managing endometriosis.

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