Researchers at the Icahn School of Medicine have introduced an AI tool, called PFTSleep, that analyzes full nights of sleep to classify sleep stages more effectively than traditional methods, potentially enhancing the detection of sleep disorders. This innovative model leverages vast datasets of sleep recordings to provide a standardized approach to sleep analysis, which could transform sleep research and clinical applications in the future.
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