Vuno Med - Version DeepCARS -Risk Assessment Software
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
Opening A New Era in Managing In-Hospital Cardiac Arrest
VUNO Med®- DeepCARS™ is Korea`s first Al 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.
References. A multicenter validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards. Resuscitation. 2021 Apr.
Efficient
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. MFDS clinical trial results (VN-M-05) in Asan Hospital, `Retrospective case-control study