Mount Sinai Team Creates AI Algorithm to detect Sleep Disorder

REM sleep behavior disorder almost always is an early sign of Parkinson's or dementia, often preceding other symptoms by 10-15 years. Researchers think the tool can enable development of new therapies for those diseases.RBD affects more than one million Americans and is almost always an early sign of Parkinson's or dementia, often preceding other symptoms by 10-15 years. That means it presents an unprecedented opportunity for developing therapies against Parkinson's disease or dementia and ultimately identifying those who would benefit from early prevention therapy.However, RBD has been very difficult to diagnose."A simple screening question on whether or not people act out their dreams is poorly sensitive because many people with RBD rarely have full-blown dream enactment episodes but only have small twitches that they or their partners are not aware of," explained Mount Sinai clinician Dr. Emmanuel During.

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Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 600 research and clinical labs, a school of nursing, and a leading school of medicine and graduate education.The gold standard test for diagnosing RBD is an in-lab sleep test in a sleep center, also known as a polysomnogram, which measures muscle activity (increased in RBD) during REM sleep using muscle sensors, or electromyography. 


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