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Sharjah24
AI's role in diagnosing sleep conditions
The study concluded that artificial intelligence can enhance the diagnosis of sleep disorders and uncover hidden biomarkers that link sleep patterns to long-term health outcomes. The model analyzed more than 10,000 sleep studies and enabled the classification of patients into five subtypes that differ significantly in their levels of health risks, with accurate predictions of increased likelihood of death, heart disease, and cognitive disorders among the higher-risk groups. The results showed that the model outperforms traditional methods, increasing the predicted risk of conditions such as heart failure, strokes, and atrial fibrillation. The study confirmed that AI is capable of more accurately identifying the most vulnerable groups in terms of health risks over the next five years.
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