AI SCIENCE
Researchers at Mount Sinai have created an AI tool to analyse video recordings from sleep tests.
This tool could make it easier to diagnose REM sleep behaviour disorder (RBD), a condition that affects over 80 million people worldwide.
The study was published in the Annals of Neurology on January 9.
So what is RBD?
RBD causes unusual movements during the REM stage of sleep, often linked to acting out dreams.
It affects over a million people in the U.S. and is an early warning sign of Parkinson’s or dementia.
Diagnosing RBD is hard because symptoms are easy to miss or confused with other conditions.
It requires a video sleep study, but interpreting these tests can be tricky, and the video recordings are often ignored.
Here’s what you should know about it:
The AI reviews sleep movements and detects RBD with high accuracy.
This tool could help doctors spot cases more quickly during routine sleep tests.
Doctors can use the AI’s insights to create better treatment plans for patients.
Mount Sinai’s AI uses regular 2D cameras found in sleep labs to spot movement patterns during sleep.
This replaces older methods that relied on more complex 3D cameras. The new approach is 92% accurate and makes use of existing technology.
This technology could change how RBD is diagnosed and improve care for millions.
Imagine an algorithm watching you sleep… and being this accurate.