华盛顿大学研究人员创建了一个可磨损的人工智能系统,以99.6%的敏感性和98.8%的特殊性实时检测药物交付错误。 University of Washington researchers created a wearable AI system detecting medication delivery errors in real-time with 99.6% sensitivity and 98.8% specificity.

华盛顿大学的研究人员创建了可磨损的AI摄影系统,实时检测药品交付错误。 Researchers at the University of Washington have created a wearable AI camera system that detects medication delivery errors in real-time. 该系统发表在 npj Digital Medicine 上，在识别样品瓶更换错误方面实现了 99.6% 的灵敏度和 98.8% 的特异性。 Published in npj Digital Medicine, the system achieved 99.6% sensitivity and 98.8% specificity in identifying vial-swap errors. 它使用视觉提示,而不是阅读标签,目的是加强手术室的安全,并在使用药物之前由警告提供者提供紧急护理。 It uses visual cues instead of reading labels, aiming to enhance safety in operating rooms and emergency care by warning providers before administering medications.