Data management system VUNO Med®-DeepCARS™

with artificial intelligencecardiology

Provides risk of cardiac arrest of patients in the general wards within 24 hours through vital sign data. AI-based cardiac arrest risk management system The breakthrough medical device by the Korea Ministry of Food and Drug Safety MFDS(K-FDA) approved VUNO Med®- DeepCARS™ is Korea’s first AI medical device that provides a 1-100 risk score of inpatient cardiac arrest in the general wards within 24 hours through vital signs, which helps effective patient monitoring and risk management. Simple Uses only 4 vital signs to provide cardiac arrest risk score. Effective From a multicenter study (173,368 patients), DeepCARS™ proved its performance accuracy (AUROC) to predict cardiac arrest within 24 hours in various environment, Internal validation cohort 0.860 and external validation cohort 0.905. The average time from the first prediction of cardiac arrest to the actual occurrence is 15.8 hours, which could enable more rapid and efficient responses to in-hospital cardiac arrest by predicting a cardiac event in advance.