Episode #147. The Sound of Health: How AI and Voice Are Transforming Diagnostics, with Henry O’Connell, CEO and Co-Founder of Canary Speech
AI can now detect diseases just by listening to your voice.
In this episode, Henry O’Connell, CEO and Co-Founder of Canary Speech, explains how vocal biomarkers are transforming healthcare diagnostics. By processing over 15 million data elements per minute, Canary can detect conditions like Parkinson’s and Alzheimer’s with up to 99% accuracy from just 40 seconds of speech. Henry also shares how AI and deep learning are turning speech data into actionable insights that empower clinicians and future innovators alike.
Tune in to learn how voice and AI are reshaping the future of healthcare!
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About Henry O'Connell:
Henry O'Connell is the CEO and Co-Founder of Canary Speech. Henry has spent more than thirty years leading healthcare technology companies. Following his work in neurology at the National Institutes of Health and C-suite positions at Hewlett-Packard and Gilson, Henry served as president and CEO of MOXTEK, a leading supplier of nano-optical and x-ray components used in display electronics, imaging, and analytical instrumentation.
As the author or co-author of twelve patents and a frequent speaker at technology and healthcare conferences, Henry brings exceptional experience leading companies to success.
Things You’ll Learn:
- Speech can serve as a powerful diagnostic tool, with the aid of AI and vocal biomarkers, revealing neurological and behavioral health conditions with high accuracy.
- Canary Speech processes more than 15.5 million data elements per minute to detect diseases such as Parkinson’s, Alzheimer’s, Huntington’s, MS, and mild cognitive impairment from a 40-second speech sample with 98–99% accuracy.
- Advances in deep neural networks and machine learning have enabled the extraction of actionable clinical insights from massive speech datasets, an achievement that was previously impossible.
- AI-driven analysis empowers clinicians to make faster, more accurate decisions, improving both diagnosis and patient care.
- AI is making work more engaging and intellectually stimulating, encouraging professionals to view technology as a tool for personal and collective growth.
- Visibility, persistence, and continuous learning are essential for success in healthcare and technology, as emphasized by the importance of making hard work visible.