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Researchers have found that analyzing routine sleep study data using artificial intelligence can uncover hidden vital signs that help predict a broader range of health risks associated with sleep disorders, surpassing traditional methods relied upon by doctors. This approach aids in improving early diagnosis of conditions linked to sleep issues, thereby contributing to better treatment and prevention strategies.
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