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Month: June 2018

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Mediwhale
Monday, 25 June 2018 / Published in All, Digital Health

Bio-signal Monitoring Can Tell Common Diseases

In these days, breath, temperature, heartbeat rate, blood sugar level, and other human body signals can be analyzed by AI and consequently indicate or predict our health status and diseases. Sepsis, a common deceasing factor of patients, is the best example which can be accurately recognized by varied temperature, blood pressure drop, reaction reduction, and
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Mediwhale
Monday, 18 June 2018 / Published in All, Digital Health

Predicting Diseases via Big Data in Medical Field

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.
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Mediwhale
Monday, 11 June 2018 / Published in All, Digital Health

How to use Medical Artificial Intelligence

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
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Mediwhale
Sunday, 10 June 2018 / Published in All, Mediwhale

Khanty-Mansiysk Hospital and Medi Whale Signed a Side Agreement for ‘Dr. Noon’ Demonstration

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,
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Mediwhale
Monday, 04 June 2018 / Published in All, Digital Health

Medical AI in Google

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

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