We'll Catch Alzheimer's with AI in Speech Patterns
Alzheimer's Disease is going to wreck havoc on our future, can A.I. improve our ability to handle the storm?
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More than 6 million Americans are living with Alzheimer's. By 2050, this number is projected to rise to nearly 13 million. With quickly aging populations, it’s going to become a big deal.
Honestly if you think about it, it kills more than breast cancer and prostate cancer combined. For healthcare systems globally and for the impact on families, it’s hard to calculate the rising costs of AD (Alzheimer’s Disease).
In 2023, Alzheimer’s and other dementias will cost the nation $345 billion. By 2050, these costs could rise to nearly $1 trillion. We forget sometimes that Alzheimer's disease is the most common type of dementia.
As Generative A.I. gives our abilities in healthcare augmented powers, what’s going to result? Now in 2023, research has shown that Alzheimer’s affects a part of the brain that controls speech, resulting in small changes before people show other signs of the disease.
It is known that Alzheimer’s disease (AD) influences the temporal characteristics of spontaneous speech.
These phonetical changes are present even in mild AD. (A new kind of Biomarkers)
How might early detection of AD occur with A.I. that can monitor our speech more closely in a non-invasive way? (Apps, medical devices, Telehealth consults, etc…)
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