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AI for Wearable Health Devices
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== <span style="color: #FFFFFF;">Evaluating</span> == Wearable AI evaluation: (1) **Clinical validation cohort**: validate against clinical gold standard (Holter monitor for AFib, PSG for sleep, arterial line for SpO2) in a demographically diverse population. (2) **Skin tone stratification**: report performance separately across Fitzpatrick skin tone scale IβVI. (3) **Free-living conditions**: test in real-world conditions (during exercise, sleep, daily activities) not just resting laboratory. (4) **Positive predictive value**: especially important for rare conditions (AFib prevalence ~2%); high sensitivity with low PPV floods users with false alarms. (5) **Longitudinal drift**: validate accuracy over weeks to months of continuous wear. </div> <div style="background-color: #2F4F4F; color: #FFFFFF; padding: 20px; border-radius: 8px; margin-bottom: 15px;">
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