AI-enhanced algorithm improves diagnosis of REM sleep behavior disorder

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.