AI Detects Dizziness, Balance Disorders Remotely

Most current AI models are based on static datasets, limiting their adaptability and real-time diagnostic potential. To address this gap, researchers have developed a novel proof-of-concept deep learning model that leverages real-time data to assist in diagnosing nystagmus — a condition characterized by involuntary, rhythmic eye movements often linked to vestibular or neurological disorders.