Clinical Risk Analysis

As medical expense for a patient with chronic disease tremendously increases each year, it accounts for a huge portion in total healthcare costs. AItrics Clinical Risk Analysis (ACRA) model has been designed to predict onsets of diseases, identify potential risks in advance, and provide proper medical services, which will ultimately prevent exacerbation of diseases and physiological conditions. Utilizing cutting-edge AI technologies including deep learning algorithms and reinforcement learning techniques, ACRA has been trained based on hundreds of key attributes deduced from Electronic Health Records(EHRs) including lab test, vital signs, physiological information, disease history, and sociological determinants. As a result, ACRA model successfully yields great performances in prediction and identification of potential risks, and suggests meaningful explanations and medical insights.

ICU Care

AItrics Intensive Care Unit Care (AICUC) supports physicians and healthcare professionals as an AI critical care staff, monitoring vital signs and medical information and analyzing physiological trends of a patient. AICUC is an integrated healthcare interaction system that has been developed based on top-notch machine learning techniques with various dynamic healthcare data and constantly updated digital records of patients’ vital conditions. Furthermore, AICUC is constantly increasing its service quality and prediction performance by applying intervention technique of healthcare professionals into the system. Our interactive AICUC is a learning-based solution to optimize performances in prediction and early diagnosis of a disease, and effective management service for a patient with a life-threatening event such as sepsis, cardiac arrest, or respiratory arrest, which commonly happens in the ICU environment. Successfully integrating our innovative AI technologies in machine learning and healthcare into the ICU environment, AItrics has ultimate goals:

1) OPTIMIZE ICU environment by accurately predicting risk indication and potential disease in a patient and providing efficient healthcare services.

2) SUPPORT healthcare professionals to make a right medical decision and administer a proper healthcare service.

3) REDUCE healthcare costs for patients, healthcare professionals, hospitals and ultimately for our society.

Medical Diagnosis

AItrics Medical Diagnosis(AMD) is a data-based diagnosis system that supports physicians or other healthcare professionals to accurately diagnose diseases, identify risk factors in patients, and administer proper medical prescriptions ,through the state-of-art AI technologies. AMD is mainly designed to identify life-threatening diseases such as cancer, cardiovascular diseases, and heart diseases in advance by examining various types of datasets and analyzing thousands of previous cases of patients with similar conditions in order to identify meaningful patterns and physiological indications. Through the innovative AI diagnosis techniques in terms of early diagnosis and efficient preventive medicine, AMD simply reads basic medical information of a patient, articulately suggests necessary medical measurements to healthcare professionals for identification of potential health risks, and effectively provides accurate medical prediction service.