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Klin Monbl Augenheilkd 2020; 237(12): 1438-1441
DOI: 10.1055/a-1303-6482
Übersicht

Künstliche Intelligenz und Big Data

Artikel in mehreren Sprachen: English | deutsch
Soenke Langner 
Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Universitätsmedizin Rostock, Deutschland
,
Ebba Beller
Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Universitätsmedizin Rostock, Deutschland
,
Felix Streckenbach
Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Universitätsmedizin Rostock, Deutschland
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Zusammenfassung

In der Augenheilkunde und der Radiologie spielen Bilddaten eine entscheidende Rolle. Für die Auswertung dieser Datensätze stehen in der radiologischen Diagnostik und Forschung zunehmend „deep-learning“-basierte Algorithmen zur Verfügung. Anwendungsgebiete und die Bedeutung für die radiologische Bildgebung in der Ophthalmologie werden aufgezeigt.

Schlüsselwörter

künstliche Intelligenz - Deep Learning - MRT - Big Data


Publikationsverlauf

Eingereicht: 26. August 2020

Angenommen: 03. November 2020

Artikel online veröffentlicht:
19. November 2020

© 2020. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

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