On the last 17th, Medi Whale Inc. and Siloam Eye Hospital signed an MOU for enhancement of AI fundus screening device. Both sides agreed that their partnership would help the automatic fundus screening device to be successfully adapted in a clinical environment, not limited under the academic field. They are planning to reach a more
On last 14th of December, Medi Whale Inc. opened an all-in-one eye disease auto-diagnostic device, in which artificial intelligence software and fundus camera are combined together. This medical healthcare startup, which develops a diagnosis system based on fundus photography, displayed the combined device during the Asian Pacific Vitreo-Retina Society(APVRS) 2018. Last September, Medi Whale started developing the auto-diagnostic
Medi Whale Inc. announced on last 4th December that they are now starting the sales of ‘DrNoon’, a diagnostic solution of eye diseases using artificial intelligence(AI). They said that they have recently established a business headquarter in Singapore to support the sales in Southeast Asia. They are now supplementing their manpower for sales for hospitals
A new technology that enables a diagnosis of cardiovascular diseases only through eye images was first opened. The vessels in eyes which reflect the overall body condition enables to expect risks of a range of diseases. Early this year, Verily have suggested a possibility of expecting basic biomarkers including age, blood pressure, and smoking preference
On last 25th October, a Korea-Indonesia Tech Startup Demo day took a place in Jakarta. Organized by Korean small and medium Business Corporation(SBC), Korean International Trade Association(KITA), Korea Creative Contents Agency(KOCCA), and Indonesian Agency for Creative Economy(BEKRAF), 25 startups from Korea and Indonesia have made their pitch for about 100 potential investors. Medi Whale Inc.
Medi Whale Inc., a healthcare startup based in South Korea, has made a pitch introducing its technology in Tech in Asia 2018 Arena pitch battle as one of the six selected finalists. Arena pitch battle is a startup competition annually held at Tech In Asia conference. This year, six startups from Indonesia, Vietnam, South Korea,
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
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
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