ANALYSIS OF METHODS FOR THE CLINICAL DIAGNOSIS OF VESTIBULAR DISORDERS BASED ON ARTIFICIAL INTELLIGENCE
Keywords:
vestibular disorders, BPPV, vestibular migraine, artificial intelligence, differential diagnosis.Abstract
Vestibular disorders, which manifest as dizziness (vertigo) in clinical practice, pose a challenge for differential diagnosis. While modern instrumental examinations (VNG, vHIT, VEMP, posturography) have increased diagnostic accuracy, the multidimensional and complex nature of the data complicates clinical decision-making. The study involved observations of 196 patients treated at the Departments of Otorhinolaryngology and Neurology of the Multidisciplinary Clinic of Tashkent State Medical University between 2024 and 2026. This article analyzes the potential for clinical diagnosis of benign paroxysmal positional vertigo (BPPV) and vestibular migraine using artificial intelligence (AI), including algorithmic models, their sensitivity and specificity indicators, and issues of clinical integration.
