Zastosowanie sztucznej inteligencji w diagnostyce otoneurologicznej – przegląd wybranych publikacji

Introduction : Modern technologies, i.e. artificial intelligence (AI), are rapidly becoming an element supporting the assessment of the diagnosis of vestibular dysfunction. According to the researchers, artificial intelligence quickly analyzes large amounts of data through algorithms making the conclusions detailed and precise. Material and methods: The selected review includes groundbreaking publications from a database such as PubMed, Science Direct and Web of Science in 2015–2021, related to the use of machine learning in the diagnostic process of the most popular vestibular disorders. Conclusions: From a clinical point of view, due to numerous factors that influence the feeling of dizziness and maintaining pos-ture, it is not yet possible to apply artificial intelligence to the self-assessment of vestibular functions. The study indicates that the results of objective diagnostic tests analyzed by machine learning and the ENT may become an important element of clinical practice.