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The study developed a deep neural network algorithm to detect obstructive sleep apnea (OSA) using 12-lead electrocardiograms (ECGs) from a cohort of 11,299 patients. The AI model demonstrated good diagnostic performance with an area under the curve (AUC) of 0.80, particularly excelling in females (AUC: 0.82). This algorithm could facilitate low-cost, widespread screening for OSA, enhancing early diagnosis and treatment options.
- Author
- Mohammed Benbrahim
- Language
- EN