Künstliche Intelligenz in der Neurologie

Katharina Ernst; Jan Rémi

doi:10.1055/a-2133-0854

Nervenheilkunde, Inhaltsverzeichnis

Nervenheilkunde 2023; 42(09): 603-611
DOI: 10.1055/a-2133-0854

Schwerpunkt

Künstliche Intelligenz in der Neurologie

Artificial intelligence in neurology

Katharina Ernst

¹Department of Neurology, LMU University Hospital, LMU Munich

,

Jan Rémi

¹Department of Neurology, LMU University Hospital, LMU Munich

› Institutsangaben

Abstract

ZUSAMMENFASSUNG

Künstliche Intelligenz (KI) ist spätestens seit der Veröffentlichung von ChatGPT in aller Munde. Die Grundlage eines jeden KI-Modells ist die Analyse von Daten. In der Neurologie sind aufgrund der Digitalisierung ausreichend große Datenmengen vorhanden, um mittels KI analysiert werden zu können. Dieser Artikel soll einen Überblick über KI-Modelle sowie aktuelle Forschungen und Anwendungen in der Neurologie geben. Mögliche Probleme in der Integration der KI in den klinischen Alltag werden beleuchtet und ein Ausblick auf die Zukunft wird versucht.

ABSTRACT

Ever since the publication of ChatGPT everyone is talking about Artificial intelligence (AI). Every AI-algorithm is based on the analysis of data. In neurology, digitalization has created sufficiently large amounts of data to be analyzed. This article aims to provide an overview of AI models , as well as current research and applications of AI in the field of neurology. It will also briefly highlight potential problems in the integration of AI into clinical practice and provide an outlook for the future.

Schlüsselwörter

Künstliche Intelligenz - Neurologie - Daten - Analyse - Herausforderungen

Key words

Artificial intelligence - neurology - data - analysis - challenges

Volltext

Referenzen

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