NewzResearchers at the Cleveland Clinic have developed an artificial intelligence model designed to analyze data from polysomnography sleep studies. The technology identifies specific patterns within these nocturnal assessments that are associated with an increased risk of heart disease and cognitive decline, potentially serving as a predictor for higher mortality rates. By processing existing sleep study data, the AI aims to uncover clinical insights that may otherwise be overlooked during standard diagnostic procedures.
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