New research suggests that AI could analyze voice recordings to detect early signs of throat cancer, potentially transforming diagnosis methods. The study indicates that vocal biomarkers can differentiate between patients with and without vocal fold lesions. Early detection is crucial for improving survival rates, as current diagnostic methods are invasive and slow. The research team analyzed 12,500 voice recordings and found significant acoustic differences in men, with plans to expand the dataset for better accuracy. Teljes cikk (Euronews.com)