From voice biomarkers to telemedicine screening: developing and evaluating a voice-based AI model for laryngeal lesion detection using the Bridge2AI-Voice dataset
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Background: The human voice contains rich acoustic information indicative of laryngeal pathology, yet current screening relies on resource-intensive in-person laryngoscopy. While artificial intelligence has shown promise for voic... ...
