Researchers demonstrated AI could detect early laryngeal cancer from voice recordings, distinguishing it from benign conditions.
Key Details
- 1Laryngeal cancer affects over 1 million people worldwide, with high mortality rates.
- 2Diagnosis currently requires invasive endoscopy and biopsy; voice-based screening could simplify detection.
- 3The study analyzed 12,523 voice samples from 306 participants using the Bridge2AI-Voice dataset.
- 4Significant differences in acoustic features, especially harmonic-to-noise ratio, identified laryngeal cancer in men.
- 5Findings suggest voice could serve as a practical biomarker for cancer risk assessment, pending further validation.
Why It Matters
A non-invasive, AI-based screening tool for laryngeal cancer could enable earlier detection, reducing diagnostic delays and easing burden on specialists. This advances the potential of digital biomarkers and broadens the scope of imaging AI in oncology.
Source
EurekAlert
Related News
•EurekAlert
AI Uses Routine Mammograms to Predict Women's Heart Disease Risk
AI can use mammograms to predict the risk of serious cardiovascular disease in women by quantifying breast arterial calcification.
•EurekAlert
Deep Learning Enables Virtual Multiplexed Immunostaining in Pathology
Researchers developed a deep learning framework for generating virtual immunostaining on label-free tissue to assess vascular invasion in thyroid cancer.
•EurekAlert
AI and Ground-Penetrating Radar Innovate Detection of Hidden Steel Damage
University of Houston researchers developed an AI and radar-based method to detect hidden damage in cold-formed steel used in building structures.