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Obstructive sleep apnoea, where breathing stops and starts during sleep, could be diagnosed via an AI model
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An artificial intelligence model can diagnose obstructive sleep apnoea (OSA) with nearly 90 per cent accuracy using only a night-vision camera, potentially doing away with the need for intrusive tests in specialist laboratories.
OSA occurs when the walls of the throat relax and narrow during sleep, which has been linked to high blood pressure, type 2 diabetes and heart disease. The standard method of diagnosis is polysomnography (PSG), which involves an overnight hospital …
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