Although medical data is complicated, it can be analyzed and display new insight through AI. This can predict future disease attack and decrease readmission rate or reduce medical expense. The guideline derived from ACC/AHA, is not a perfect model to predict disease as it does not include any individual’s life style, habits, or risk factors.
In our past medical society, some researchers expected AI will replace professional physicians as it is based on big data and derive more accurate results than human without any bias. Machine learning, which learns data via math equations and setting rules like a human, is commonly used in filtering spam mails, face and voice recognition
Medi Whale Co. signed a side agreement of ‘Dr. Noon’ demonstration agreement with Khanty-Mansiysk Hospital (Russia). Last December of 2017, Medi Whale have signed an agreement with Khanty-Mansiysk District for appliance of AI eye examination software based on deep learning artificial intelligence. The agreement of this December is a side agreement of the previous agreement,
Google displayed the AI technology which can predict individual patient’s medical treatment results by analyzing their electronic health record (EHR) through deep learning system. It was difficult to analyze EHR as several complicated data such as the quantity of patients, different type of diseases, prescriptions, and surgical operations are presented. Moreover, since some data is
Medi Whale and its product, Dr. Noon, was introduced to media by the Korea Economic Daily. The article is based on interview of Choi, the CEO of Medi Whale. Choi said that their program Dr. Noon can “diagnose disease risk of cardiovascular, macular, and optic nerve with 95% reliability by analyzing the fundus image”. The
Along with the study of evaluating diabetic retinopathy by applying deep learning to retinal fundus image, predicting cardiovascular risk factor also became focused in medical field. As identified retinal fundus images can display distinctive features of optic disc or blood vessels, correlation between heart diseases and retinal disease, it allowed to predict the cardiovascular risk
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