The problem with trusting AI to diagnose sleep disorders

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The problem with trusting AI to diagnose sleep disorders.
About 70 million people report problems with their sleep. And more than ever, they are turning to technology to help them with this plight. Wearable fitness devices are cornering the market, and AI-enabled devices are leading the pack. With flashy terms like machine learning and neural networking backing their products, producers of popular AI sleep trackers are encouraging many consumers to purchase their devices and apps to improve their sleep habits.

We’re spending all this money on seemingly advanced sleep technologies, but are they really helping us sleep better?

According to Adam Blacker, communications lead at Apptopia, almost 11.5 million people (11,490,230, to be exact) downloaded one of the top 10 sleep apps on the Apple iOS platform in the past six months. This astounding number is only a percentage of worldwide sleep tracker use.




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The problem
with trusting AI to diagnose sleep disorders
The problem with trusting AI to diagnose sleep disorders