We are developing AI-driven
medical solutions to help
healthcare
professionals save time, reduce costs,
and improve patient outcomes.
VUNO Med®-DeepCARS® is an early warning system used to
monitor and assess the risk of cardiac arrest through
4 vital signs along with age and the recorded time of
vital signs among inpatients in general ward.
Clinical Effectiveness of an Artificial Intelligence-Based Prediction Model for Cardiac Arrest in General Ward-Admitted Patients: A Non-Randomized Controlled Trial
External Validation of Deep Learning-Based Cardiac Arrest Risk Management System for Predicting In-Hospital Cardiac Arrest in Patients Admitted to General Wards Based on Rapid Response System Operating and Nonoperating Periods
Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards
Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events
Development and validation of a deep-learning-based pediatric early warning system: A single-center study
A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards
Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events
Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards
