Tuesday, 10 July 2018 / Published in All, Mediwhale
On last July 7th, in APTOS 2018 Singapore, Dr. Rim gave a presentation about his research, “Retinal Damage as the Window to Cardiovascular Organ Damage: Use of Big Data & Machine Learning”. Dr. Rim, one of the co-founders of Medi-Whale Inc., is engaged in Yonsei University College of Medicine as a professor and ophthalmologist in
Monday, 09 July 2018 / Published in All, Mediwhale
Medi-Whale Co. sponsored the 3RD Asia Pacific Tele-Ophthalmology Symposium (APTOS) held in Singapore. In their exhibition booth the ‘Dr. Noon’, Medi-Whale’s product, was displayed on July 7-8, 2018.  APTOS was founded by tele-ophthalmologists in Asia-Pacific region in May 2016, aggregating professional researchers, technicians, and clinicians to share, collaborate, exchange individual perspectives, knowledge or ideas. Along
Monday, 02 July 2018 / Published in All, Digital Health
In terms of heart diseases, researchers from Asan hospital, Seoul represented AI which can concisely predict ventricular tachycardia before 1 hour from when it strokes. This increased the viability of patients from heart attack but required the human effort to set an artificial neural network which was based on specific feature. Furthermore, researchers from Vuno
Monday, 25 June 2018 / Published in All, Digital Health
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
Monday, 18 June 2018 / Published in All, Digital Health
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.
Monday, 11 June 2018 / Published in All, Digital Health
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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