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Zentralbl Chir 2022; 147(05): 432-438
DOI: 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)
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Schlüsselwörter

maschinelles Lernen - künstliche Intelligenz - Fusionsbildgebung - endovaskuläre Robotik - endovaskuläre Therapie - Aortenchirurgie

Keywords

machine learning - artificial intelligence - fusion imaging - endovascular robotics - aortic aneurysm - endovascular


Publication History

Received: 26 June 2022

Accepted: 23 August 2022

Article published online:
11 October 2022

© 2022. Thieme. All rights reserved.

Georg Thieme Verlag KG
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