A Mount Sinai-led team of researchers has enhanced an artificial intelligence (AI)-powered algorithm to analyze video recordings of clinical sleep tests, ultimately improving accurate diagnosis of a common sleep disorder affecting more than 80 million people worldwide. The study findings were published in the journal Annals of Neurology on January 9.
REM sleep behavior disorder (RBD) is a sleep condition that causes abnormal movements, or the physical acting out of dreams, during the rapid eye movement (REM) phase of sleep. RBD that occurs in otherwise healthy adults is called “isolated” RBD. It affects more than one million people in the United States and, in nearly all cases, is an early sign of Parkinson’s disease or dementia.
RBD is extremely difficult to diagnose because its symptoms can go…