New AI Model Analyzes Full Night of Sleep With High Accuracy in Largest Study of Its Kind (IMAGE)
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A transformer-based AI model analyzes eight-hour sleep signals from brain, movement, cardiac, and respiratory data to generate summaries, which are then used to classify sleep stages for the entire night.
Credit
Benjamin Fox, PhD candidate at the Icahn School of Medicine at Mount Sinai.
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