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AI Identifies New Sleep Health Risks
Researchers have succeeded in using artificial intelligence to analyze routine sleep study data to uncover biomarkers that predict long-term health risks surpassing those typically identified by doctors. The model identified five subtypes of patients who differ in their likelihood of developing serious health issues such as heart failure, heart attacks, and cognitive decline, with mortality risks up to twice as high within five years. This advanced detection was not captured by traditional sleep apnea indices. The findings demonstrate that AI can accurately predict risks for both men and women and could contribute to improving the assessment of chronic disease risks related to sleep quality.
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