An artificial intelligence algorithm is highly accurate for detecting endoscopic features of eosinophilic esophagitis
Christoph Römmele(University Hospital Augsburg), Alanna Ebigbo(University Hospital Augsburg), Jakob Heinkele(University Hospital Augsburg), Julia Wanzl(University Hospital Augsburg), Carola Fleischmann(University Hospital Augsburg), Christoph Palm(OTH Regensburg), Hans Kiesl(OTH Regensburg), David Rauber(OTH Regensburg), Robert Mendel(OTH Regensburg), Christine Dhillon(Technische Hochschule Augsburg), Helmut Messmann(University Hospital Augsburg), Sandra Nagl(University Hospital Augsburg), Lisa Kraus(University Hospital Augsburg), Caroline Barrett(University of North Carolina at Chapel Hill), Bianca Grosser(Technische Hochschule Augsburg), J. Schlottmann(University Hospital Augsburg), Elisabeth Schnoy(University Hospital Augsburg), Tobias Rückert(OTH Regensburg), Friederike Prinz(University Hospital Augsburg), Evan S. Dellon(University of North Carolina at Chapel Hill)
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