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'Eye' on Health: AI Detects Dizziness and Balance Disorders Remotely

Researchers have developed a cost-effective, AI-powered system for diagnosing nystagmus--a condition causing involuntary eye movements--using smartphone videos and cloud-based analysis. Unlike traditional methods like VNG, which are expensive and cumbersome, this deep learning model uses real-time facial landmark tracking to assess eye movement metrics remotely. A pilot study with 20 participants showed its accuracy closely matched traditional devices, highlighting its potential for telehealth use and broader clinical application.

June 4, 2025


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Angell Street Psychiatry
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