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Colloquium Announcement on Apr. 9, 2018
W-Name Admin (IP: *.152.74.116) W-Date 2018-03-21 10:20 Hit 418

Clinical Risk Prediction in Intensive Care Unit

Speaker : Jin Yoo (AItrics, Inc.)

Date: Apr. 9 (Mon.), 2018

Time: 05:00 PM 

Location: Woo Jung Information & Communication bldg., Room 601

Hosted by Dept. of Brain & Cognitive Engineering, Korea University / Institute of Brain and Cognitive Engineering, Korea University / BK21+ Global Leader Development Division in Brain Engineering, Korea University / Interdisciplinary Major in Brain and Cognitive Science


Addressing the world’s grand challenges, AITRICS strives to provide real-time clinical insights and solutions that will accelerate the race to predictive, preventive, personalized, and ultimately to improved health care.


AITRICS Intensive Care Unit Care is one of the company’s novel solutions, developed as an integrated healthcare interaction system based on top-notch machine learning techniques with various dynamic healthcare data and constantly updated digital records of patients’ conditions. Monitoring vital signs and medical information in real time, our ICU solution predicts outcomes ranging from mortality rates to readmissions, as well as length of stay and diagnoses. Additionally, the application of intervention techniques of healthcare professionals into the system is expected to help optimize performance in prediction, early diagnosis and effective management service for a patient with life-threatening events, such as sepsis, cardiac arrest or respiratory arrest, which commonly happens in the ICUs

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