AI-based cardiac arrest forecast software acquires approval as Ingenious Medical Gadget in South Korea
South Korea-based medical AI solutions development business VUNO has acquired approval from the Ministry of Food and Drug Security (MFDS) for its AI-based heart attack forecast software application, VUNO Med– DeepCARS as an Ingenious Medical Device.
The software is specialized in predicting the risk of heart attack and performs a medical analysis of vital indications of patients in basic wards kept in the electronic medical records (EMR) consisting of heart rate, breathing rate, blood pressure, and body temperature level. The collection of data forms the basis for predicting the possibility of an emergency situation cardiac arrest scenario occurring within the next 24 hours.
Medical testing is underway for VUNO Med– DeepCARS based upon a clinical trial strategy authorized by the MFDS in June.
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According to a research paper published in Critical Care Medication (CCM) in February, VUNO Med– DeepCARS had a level of sensitivity two times as high as Modified Early Caution Score (MEWS)– a conventional way of cardiac arrest prediction– for the same number of alarms.
THE LARGER TREND
VUNO also just recently revealed that it was selected to be part of a job, which is led by the National IT Industry Promotion Company (NIPA) under the Ministry of Science and ICT (MSIT), to technologically demonstrate an AI-run system for medical image-based analysis and diagnosis.
The company prepares to develop AI-based medical services that can meet the needs of the military environment and show the accuracy and performance in medical image analysis done by military health centers and medical corps, in partnership with Wonju Severance Christian Healthcare Facility and Gachon University Gil Medical Facility.
In June, VUNO acquired CE Mark for 5 of its options: VUNO Medication– BoneAge, VUNO Med– DeepBrain, VUNO Med -Chest X-Ray, VUNO Med– Fundus AI and VUNO Med– LungCT AI, Health Care IT News reported
ON THE RECORD
” VUNO Medication– DeepCARS makes predictions about cardiac arrest based upon a variety of important indications to permit early detection and speedy reaction. Undoubtedly, this epoch-making option will serve as a game changer once it enters scientific usage,” stated Hyun-Jun Kim, CEO of VUNO.
He included, “VUNO is dedicated to leader groundbreaking AI-based options throughout various medical fields from deep learning-based solutions using medical images to technologies regarding crucial signs.”
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