Inside the AI healthcare revolution: meeting the robots that can detect Alzheimer’s and depression

Just 45 seconds in the company of scientist Frank Rudzicz and his machines is all it takes to determine whether or not you are suffering from Alzheimer’s disease.

In that time, the complex Artificial Intelligence (AI) algorithms that the 37-year-old and his team have developed are able to pick apart your voice and predict the severity of the disease to an accuracy of around 82 per cent (and rising).

First, there is your actual use of language. Alzheimer’s sufferers tend to leave longer pauses between words, prefer pronouns to nouns (for example, saying “she” rather than a person’s name) and give more simplistic descriptions, such as a “car” rather than the model or make.

Then there is what Rudzicz calls the “jittter and shimmer” of speech; variations in frequency and amplitude.

Read more: Inside the AI healthcare revolution: meeting the robots that can detect Alzheimer’s and depression

Don’t forget to share this via , , Google+, Pinterest, LinkedIn, Buffer, , Tumblr, Reddit, StumbleUpon and Delicious.

Mike Rawson

Mike Rawson has recently re-awoken a long-standing interest in robots and our automated future. He lives in London with a single android - a temperamental vacuum cleaner - but is looking forward to getting more cyborgs soon.

Leave a Reply

Your email address will not be published. Required fields are marked *

Inside the AI healthcare revolution: meeting the robots that can detec…

by Mike Rawson time to read: 1 min
Hi there - can I help you with anything?
[Subscribe here]
 
More in Machine Learning, News
Smart Home Security
Internet providers could easily snoop on your smart home

We’ve mostly moved past the point where our Internet of Things devices leak private information to anyone watching via unsecured...

Close