Dozee基于AI的预警系统预测,病人的病情将提前16小时恶化,准确率达到67-94%。 Dozee's AI-based Early Warning System predicts patient deterioration up to 16 hours ahead with 67-94% accuracy.
Dozee是一家印度卫生AI公司,该公司发布一项研究,显示其预警系统(EWS)可以预测病人的病情将提前16小时恶化,准确率在67%至94%之间。 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%. 这项研究在乔治国王医科大学进行,强调该系统有能力不断监测生命迹象,有可能挽救生命和降低保健费用。 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. 这一技术旨在通过提供超出特护单位的负担得起、可扩展的解决方案,解决全球保健差距问题。 This technology aims to address global healthcare gaps by providing affordable, scalable solutions beyond intensive care units.