[Differential diagnosis of dizziness: what's the contribution of Artificial Intelligence?]

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.