Voice Patterns Unveil Early Cancer Clues
Researchers have discovered that analyzing voice features like tone, pitch, and clarity can help detect early signs of laryngeal cancer. By studying the harmonic-to-noise ratio and fundamental frequency in voice recordings, significant differences were identified, especially in men. The study emphasizes the potential of AI in clinical diagnostics.
- Country:
- India
In a groundbreaking study, researchers have identified that vocal characteristics such as tone, pitch, and clarity could serve as early indicators for laryngeal cancer. These findings could revolutionize how the medical community approaches cancer diagnostics.
The study, published in Frontiers in Digital Health, suggests that artificial intelligence models could be developed to identify 'lesions' in vocal cords merely through sound analysis. While some lesions are benign, others could indicate the onset of laryngeal cancer.
By analyzing over 12,500 voice recordings, researchers found significant differences in harmonic-to-noise ratio and frequency between benign lesions, healthy controls, and laryngeal cancer. They aim to expand this research by utilizing more extensive datasets to refine AI diagnostics further.
(With inputs from agencies.)
Google News