Digitalisierung Und Einsatz Von Künstlicher Intelligenz in Der Dermatopathologie.

JDDG: Journal der Deutschen Dermatologischen GesellschaftVolume 21, Issue 11 p. 1277-1278 EDITORIAL Digitalisierung und Einsatz von Künstlicher Intelligenz in der Dermatopathologie Stephan A. Braun, Corresponding Author Stephan A. Braun [email protected] Klinik für Hautkrankheiten, Universitätsklinikum Münster Von-Esmarch-Straße 58 48149 Münster Korrespondenzanschrift Dr. med. Stephan A. Braun, Klinik für Hautkrankheiten, Universitätsklinikum Münster, Von-Esmarch-Straße 58, 48149 Münster. Email: [email protected]Search for more papers by this authorDieter Metze, Dieter Metze Klinik für Hautkrankheiten, Universitätsklinikum Münster Von-Esmarch-Straße 58 48149 MünsterSearch for more papers by this author Stephan A. Braun, Corresponding Author Stephan A. Braun [email protected] Klinik für Hautkrankheiten, Universitätsklinikum Münster Von-Esmarch-Straße 58 48149 Münster Korrespondenzanschrift Dr. med. Stephan A. Braun, Klinik für Hautkrankheiten, Universitätsklinikum Münster, Von-Esmarch-Straße 58, 48149 Münster. Email: [email protected]Search for more papers by this authorDieter Metze, Dieter Metze Klinik für Hautkrankheiten, Universitätsklinikum Münster Von-Esmarch-Straße 58 48149 MünsterSearch for more papers by this author First published: 10 November 2023 https://doi.org/10.1111/ddg.15280_gRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. LITERATUR 1Mitteldorf C, Tronnier M. Dermatopathology - Current status and development in German-speaking dermatology. J Dtsch Dermatol Ges. 2023; 21(4): 393-397. 10.1111/ddg.15047 Web of Science®Google Scholar 2Försch S, Klauschen F, Hufnagl P, Roth W. Artificial Intelligence in Pathology. Dtsch Arztebl Int. 2021; 118(12): 194-204. PubMedWeb of Science®Google Scholar 3Mukhopadhyay S, Feldman MD, Abels E, et al. Whole Slide Imaging Versus Microscopy for Primary Diagnosis in Surgical Pathology: A Multicenter Blinded Randomized Noninferiority Study of 1992 Cases (Pivotal Study). Am J Surg Pathol. 2018; 42(1): 39-52. 10.1097/PAS.0000000000000948 PubMedWeb of Science®Google Scholar 4Baidoshvili A, Bucur A, van Leeuwen J, et al. Evaluating the benefits of digital pathology implementation: time savings in laboratory logistics. Histopathology. 2018; 73(5): 784-794. 10.1111/his.13691 PubMedWeb of Science®Google Scholar 5Ho J, Ahlers SM, Stratman C, et al. Can digital pathology result in cost savings? A financial projection for digital pathology implementation at a large integrated health care organization. J Pathol Inform. 2014; 5(1): 33. 10.4103/2153-3539.139714 PubMedGoogle Scholar 6Duschner N, Otero Baguer D, Schmidt M, et al. Applying an artificial intelligence deep learning approach to routine dermatopathological diagnosis of basal cell carcinoma. J Dtsch Dermatol Ges. 2023; 21(11): 1329-1338. 10.1111/ddg.15180 Google Scholar 7Le'Clerc Arrastia J, Heilenkötter N, Otero Baguer D, et al. Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma. J Imaging. 2021; 7(4): 71. 10.3390/jimaging7040071 PubMedWeb of Science®Google Scholar Volume21, Issue11November 2023Pages 1277-1278 ReferencesRelatedInformation