Row 2882

Row ID: 2882 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 2882 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

**The Bloopers:** Researchers have developed an AI system that can detect type 2 diabetes with up to 89% accuracy just by analyzing characteristics of a smartphone recording of a person's voice.

**Key points:**

* The AI studied pitch, strength, vibration, and shimmer (breathiness/hoarseness) in 18,000 voice recordings from 267 people. * It flagged subtle differences imperceptible to humans but correlated with diabetes, with 89% accuracy in females and 86% in males. * The cause of why diabetes changes a voice is unclear — but may relate to vocal cord neuropathy and muscle weakness. * Broader trials are needed to validate accuracy — but If proven, voice screening via smartphones could enable low-cost diabetes detection.

**Why it matters:** With half of adults with diabetes going undiagnosed and 86% in low and middle-income countries, a test that requires just a voice recording would be a game changer for getting diagnosis and treatment to the masses.

If you enjoy this type of AI stuff, you would love [my newsletter](https://businessbloopers.beehiiv.com/subscribe) that talks about the latest AI Developments

*Source: (*[Link 1](https://www.medscape.com/viewarticle/998280?utm_source=www.therundown.ai&utm_medium=referral&utm_campaign=humane-s-ai-pin-wants-to-replace-smartphones&form=fpf)*) (*[Link 2](https://www.mcpdigitalhealth.org/article/S2949-7612(23)00073-1/fulltext?utm_source=www.therundown.ai&utm_medium=referral&utm_campaign=humane-s-ai-pin-wants-to-replace-smartphones)*)*

FieldValue
text **The Bloopers:** Researchers have developed an AI system that can detect type 2 diabetes with up to 89% accuracy just by analyzing characteristics of a smartphone recording of a person's voice. **Key points:** * The AI studied pitch, strength, vibration, and shimmer (breathiness/hoarseness) in 18,000 voice recordings from 267 people. * It flagged subtle differences imperceptible to humans but correlated with diabetes, with 89% accuracy in females and 86% in males. * The cause of why diabetes …
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datetime 2024-01-08
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Raw Record

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  "text": "**The Bloopers:** Researchers have developed an AI system that can detect type 2 diabetes with up to 89% accuracy just by analyzing characteristics of a smartphone recording of a person's voice.\n\n**Key points:**\n\n* The AI studied pitch, strength, vibration, and shimmer (breathiness/hoarseness) in 18,000 voice recordings from 267 people.\n* It flagged subtle differences imperceptible to humans but correlated with diabetes, with 89% accuracy in females and 86% in males.\n* The cause of why diabetes changes a voice is unclear — but may relate to vocal cord neuropathy and muscle weakness.\n* Broader trials are needed to validate accuracy — but If proven, voice screening via smartphones could enable low-cost diabetes detection.\n\n**Why it matters:** With half of adults with diabetes going undiagnosed and 86% in low and middle-income countries, a test that requires just a voice recording would be a game changer for getting diagnosis and treatment to the masses.\n\nIf you enjoy this type of AI stuff, you would love [my newsletter](https://businessbloopers.beehiiv.com/subscribe) that talks about the latest AI Developments\n\n*Source: (*[Link 1](https://www.medscape.com/viewarticle/998280?utm_source=www.therundown.ai&utm_medium=referral&utm_campaign=humane-s-ai-pin-wants-to-replace-smartphones&form=fpf)*) (*[Link 2](https://www.mcpdigitalhealth.org/article/S2949-7612(23)00073-1/fulltext?utm_source=www.therundown.ai&utm_medium=referral&utm_campaign=humane-s-ai-pin-wants-to-replace-smartphones)*)*",
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  "dataType": "post",
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  "datetime": "2024-01-08",
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