Artificial Intelligence and Big Data

Soenke Langner; Ebba Beller; Felix Streckenbach

doi:10.1055/a-1303-6482

Klinische Monatsblätter für Augenheilkunde, Table of Contents

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

Übersicht

Künstliche Intelligenz und Big Data

Article in several languages: 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

› Author Affiliations

Abstract

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

Full Text

References

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