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
UVA's $4M NIH Grant Backs AI to Optimize Cardiac MRI Therapies
UVA secures $4 million NIH funding to develop GenStrain, an AI model using MRI data to personalize cardiac pacing therapies.
•EurekAlert
Machine Learning Models Predict Cancer Risk with Routine Health Data
Researchers developed machine learning models using routinely collected health data to predict individual risk for 20 common cancers, outperforming traditional methods for several cancer types.
•EurekAlert
AI Deep Learning Model Enhances Echocardiogram RV Assessment and Prognosis
Researchers developed DROID-RV, a deep learning tool that automates right ventricular assessment from echocardiograms, showing strong prognostic links with cardiovascular outcomes.