Researchers have developed an AI-driven method analyzing acoustic features from voice recordings to identify benign and malignant vocal cord lesions noninvasively. Derived from the Bridge2AI-Voice dataset, this approach uses metrics like harmonic-to-noise ratio to differentiate between healthy individuals and those with laryngeal cancer, offering a more accessible alternative to traditional invasive diagnostics. The findings, published in Frontiers in Digital Health, signal a promising advance in early voice box cancer detection.