Zentralblatt für Chirurgie - Zeitschrift für Allgemeine, Viszeral-, Thorax- und Gefäßchirurgie, Table of Contents Zentralbl Chir 2022; 147(05): 432-438DOI: 10.1055/a-1938-8227 Übersicht Digitale Patientendaten, künstliche Intelligenz und maschinelles Lernen in der neuen Ära der endovaskulären Behandlung der Aorta Digital Patient Data, Artificial Intelligence and Machine Learning in the New Era of Endovascular Aortic Therapies Antonia Geisler 1 Gefäßchirurgie, Universitätsklinikum Leipzig, Leipzig, Deutschland (Ringgold ID: RIN39066) , Andrej Schmidt 2 Interventionelle Angiologie, Universitätsklinikum Leipzig, Leipzig, Deutschland (Ringgold ID: RIN39066) , Daniela Branzan 1 Gefäßchirurgie, Universitätsklinikum Leipzig, Leipzig, Deutschland (Ringgold ID: RIN39066) › Author Affiliations Recommend Article Abstract Buy Article Schlüsselwörter Schlüsselwörtermaschinelles Lernen - künstliche Intelligenz - Fusionsbildgebung - endovaskuläre Robotik - endovaskuläre Therapie - Aortenchirurgie Keywords Keywordsmachine learning - artificial intelligence - fusion imaging - endovascular robotics - aortic aneurysm - endovascular Full Text References Literatur 1 GBD 2019 Diseases and Injuries Collaborators. 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