Google researchers and medical collaborators have used ordinary smartwatch signals to flag possible high blood pressure without calibrating the watch against an arm cuff.A study published in Nature on Nov. 5 suggests a way to prompt clinical checks during everyday wear, although the system missed about 33% of hypertension cases.The AI identified 65.8% of participants with hypertension according to a clinical reference test (sensitivity), while it correctly screened 90% of those without the condition as negative (specificity).The prospective, multicenter study followed 196 participants through seven days of smartwatch monitoring and compared results with 24-hour ambulatory blood-pressure monitoring. Participants had no known cardiovascular disease and were not taking blood-pressure medication, limiting how far the findings extend to people already receiving treatment.The 95% confidence intervals were 54% to 76.3% for sensitivity and 83.2% to 94.7% for specificity.From wrist signals to a possible clinical checkOptical pulse and motion signals over seven days plus height feed an AI probability score. A positive screen is a possible reason for clinical cuff confirmation. 01 / WRIST SIG...
Google AI spots high blood pressure using ordinary watch sensors
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