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AI Could Analyze Speech To Help Diagnose Alzheimer’s

What if a quick voice sample, easily taken at home, could help identify a patient with Alzheimer’s?

4 min read
An elderly woman at home talks on the phone in front of a computer, holding a cup of coffee
iStockphoto

Alzheimer’s disease is notoriously difficult to diagnose. Typically, doctors use a combination of cognitive tests, brain imaging, and observation of behavior that can be expensive and time-consuming. But what if a quick voice sample, easily taken at a person’s home, could help identify a patient with Alzheimer’s?

A company called Canary Speech is creating technology to do just that. Using deep learning, their algorithms analyze short voice samples for signs of Alzheimer’s and other conditions. Deep learning provider Syntiant recently announced a collaboration with Canary Speech, which will allow Canary to take a technology that is mostly used in doctor’s offices and hospitals into a person’s home via a medical device. While some research has found deep learning techniques using voice and other types of data to be highly accurate in classifying those with Alzheimer’s and other conditions in a lab setting, it’s possible the results would be different in the real world. Nevertheless, AI and deep learning techniques could become a helpful tool in making a difficult diagnosis.

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Medal of Honor Goes to Microsensor and Systems Pioneer

The UCLA professor developed aerospace and automotive safety systems

3 min read
Photo of a man in a blue jacket in front of a brick wall.
UCLA Samueli School of Engineering

IEEE Life Fellow Asad M. Madni is the recipient of this year’s IEEE Medal of Honor. He is being recognized “for pioneering contributions to the development and commercialization of innovative sensing and systems technologies, and for distinguished research leadership.”

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Learn How to Use a High-Performance Digitizer

Join Teledyne for a three-part webinar series on high-performance data acquisition basics

1 min read

Webinar: High-Performance Digitizer Basics

Part 3: How to Use a High-Performance Digitizer

Date: Tuesday, December 7, 2021

Time: 10 AM PST | 1 PM EST

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