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New AI systems offers quicker, more accurate diagnosis for blistering disease Scientists at the University of Groningen have trained an Artificial Intelligence system to recognize a specific pattern in skin biopsies of patients with the blistering disease epidermolysis bullosa acquisita. The pattern is characteristic of a specific variant of the disease which can cause scarring of the skin and mucous membranes and may lead to blindness. The new system is easy to use and is better than most doctors in making the diagnosis. A description of this AI system is published in the American Journal of Pathology. In patients with epidermolysis bullosa, layers of the skin get detached, causing large blisters. There are different forms of blistering diseases affecting different layers of the skin. One of these, epidermolysis bullosa acquisita (EBA), is an autoimmune disease through which a patient s own antibodies attack the skin. It usually starts around middle age and the blisters can form

United statesAstone shiJoost meijerEmily hendersonConvoluted neural networks cnnsUniversity medical center groningenUniversity of groningenUniversity of groningen bernoulli institute for mathematicsArtificial intelligenceAmerican journalBernoulli instituteComputer scienceConvoluted neural networksUniversity medical centerஒன்றுபட்டது மாநிலங்களில்எமிலி ஹென்டர்சன்