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
Study Warns: AI Alone Is Not Enough in Critical Healthcare Decisions
Evaluating both AI algorithms and human users is key for safe adoption in high-stakes healthcare settings, according to an Ohio State study.
•EurekAlert
AI Dramatically Improves Prediction of Delivery Timing from Ultrasound Images
Ultrasound AI's study validates advanced AI for predicting delivery timing using standard ultrasound images.
•EurekAlert
AI-Assisted Colonoscopies May Reduce Clinicians’ Detection Skills, Study Finds
Routine use of AI in colonoscopies linked to decreased skill in adenoma detection by clinicians without AI assistance.