An artificial intelligence algorithm is highly accurate for detecting endoscopic features of eosinophilic esophagitis.
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| Title: | An artificial intelligence algorithm is highly accurate for detecting endoscopic features of eosinophilic esophagitis. |
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| Authors: | Römmele, Christoph1 (AUTHOR), Mendel, Robert2,3 (AUTHOR), Barrett, Caroline4 (AUTHOR), Kiesl, Hans5 (AUTHOR), Rauber, David2 (AUTHOR), Rückert, Tobias2 (AUTHOR), Kraus, Lisa1 (AUTHOR), Heinkele, Jakob1 (AUTHOR), Dhillon, Christine6 (AUTHOR), Grosser, Bianca6 (AUTHOR), Prinz, Friederike1 (AUTHOR), Wanzl, Julia1 (AUTHOR), Fleischmann, Carola1 (AUTHOR), Nagl, Sandra1 (AUTHOR), Schnoy, Elisabeth1 (AUTHOR), Schlottmann, Jakob1 (AUTHOR), Dellon, Evan S.4 (AUTHOR), Messmann, Helmut1 (AUTHOR), Palm, Christoph2,3 (AUTHOR), Ebigbo, Alanna1 (AUTHOR) alanna.ebigbo@gmx.de |
| Source: | Scientific Reports. 7/1/2022, Vol. 12 Issue 1, p1-10. 10p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 20452322 |
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| DOI: | 10.1038/s41598-022-14605-z |