Differenzialdiagnose bei Schwindel: Was Artificial Intelligence beitragen kann

Schwindel gehört zu den häufigsten Konsultationsgründen in der Medizin. Das fächerübergreifende Spektrum der Differenzialdiagnosen führt oft zu Problemen bei der korrekten Einordnung. Artificial Intelligence und maschinelles Lernen können hier durch datengetriebene Algorithmen unterstützen und die Erfassung wichtiger klinischer Zeichen als digitale Biomarker erleichtern. Der Artikel wird die aktuelle Evidenz zum Thema darstellen und kritisch diskutieren.

Abstract

Dizziness is one of the most common reasons for medical consultations. The interdisciplinary range of differential diagnoses often leads to difficulties in proper classification. Artificial Intelligence and machine learning can assist through data-driven algorithms and facilitate the collection of important clinical signs as digital biomarkers. The article will present and critically discuss the current evidence on the topic.

Schlüsselwörter

Schwindel - vestibuläres System - Artificial Intelligence - digitale Biomarker

Keywords

vertigo - vestibular system - Artificial Intelligence - digital biomarkers

• Literatur

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