Chasing Life Can AI Hear Cancer in Your Voice?
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Sep 5, 2025 
Dr. Yaël Bensoussan, an assistant professor at the University of South Florida, discusses the groundbreaking use of AI in analyzing human voices for disease detection. She highlights how our voices can indicate health issues like Parkinson’s and cancer, revealing critical medical information. The conversation dives into the power of vocal biomarkers, the intersection of AI in healthcare, and the importance of vocal health. They also explore ethical considerations concerning voice analysis and its potential to enhance telehealth services.
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Three Categories Of Voice Biomarkers
- Voice changes fall into three categories: larynx issues, neurological disorders, and systemic diseases detectable by AI.
- AI can reveal subtle biomarkers humans can't hear, like diabetes or hypertension.
Ambient Scribes Plus Voice AI
- Combining ambient scribes with vocal biomarkers could produce automatic clinical risk reports after appointments.
- That integration would guide which tests and referrals clinicians should order.
Voice Versus Speech Distinction
- Voice and speech are distinct: voice is sound production, speech adds articulation and cognitive elements.
- Both vocal tone and speech rate provide complementary biomarkers for diseases like Parkinson's.