Researchers enhance automated method to detect common sleep disorder affecting millions

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.

This article was originally published on MedicalXpress.com

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