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Dozee's AI-based Early Warning System predicts patient deterioration up to 16 hours ahead with 67-94% accuracy.
Dozee, an Indian health AI company, released a study showing its Early Warning System (EWS) can predict patient deterioration up to 16 hours ahead, with accuracy rates between 67% and 94%.
Conducted at King George's Medical University, the study highlights the system's ability to monitor vital signs continuously, potentially saving lives and reducing healthcare costs.
This technology aims to address global healthcare gaps by providing affordable, scalable solutions beyond intensive care units.
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El Sistema de Alerta Temprana basado en IA de Dozee predice el deterioro del paciente hasta 16 horas antes con una precisión del 67-94%.