AI in puberphonia, we do.
AI can assist in diagnosing laryngeal (voice box) problems by analyzing various data, including voice recordings and images from endoscopies. AI models, such as those using Octave Frequency Spectrum Energy (OFSE) or Convolutional Neural Networks (CNNs), can detect subtle acoustic changes to identify conditions like laryngeal cancer, benign vocal fold lesions, and dysphonia with high accuracy. While AI shows promise for objective, non-invasive diagnosis, it serves as a tool to complement, not replace, the expertise of healthcare professionals.
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