WAVE. Wearable-based COVID-19 Markers for Prediction of Clinical Trajectories
The study aims to develop a wearable-based ICU prediction algorithm for inpatients with SARS-CoV-2. Participants suspected or confirmed with COVID-19 will wear a smartwatch that collects physiological data throughout hospitalization. The collected data will be used to predict clinical trajectories.
The study aims to develop a wearable-based ICU prediction algorithm for inpatients with SARS-CoV-2. Participants suspected or confirmed with COVID-19 will wear a smartwatch that collects physiological data throughout hospitalization. The collected data will be used to predict clinical trajectories.
It showcases how AI can leverage wearable data for patient monitoring, supporting Swiss AI efforts in advancing healthcare analytics.
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