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Onyx Healthcare is proud to announce that Onyx/NTUST established Medical AI Joint Research Center

2021/12/27

Medical AI




Given the rapid development of AI applications in medicine and healthcare in the twenty-first century, NTUST and Onyx Healthcare established the Onyx Healthcare–NTUST Medical AI Joint Research Center in 2021. The center encompasses work in medical engineering, medical imaging, big data analytics, AR and VR medical training, embedded system development, and others. By combining specialized expertise, NTUST and Onyx Healthcare together provide healthcare clients across the world with one-stop services that integrate medical AI modelling and simulation, software/hardware design, and manufacturing operations. Furthermore, the collaboration helps clients develop successful medical AI products and generally contributes to the medical and healthcare industry overall.

 

 

National Taiwan University of Science and Technology

Founded in 1974, the National Taiwan University of Science and Technology ("NTUST") currently consists of six colleges: College of Engineering, College of Electrical Engineering and Computer Science, School of Management, College of Design, College of Liberal Arts and Social Sciences, and College of Applied Sciences.At NTUST, there are approximately 5,500 undergraduate students, 5,300 graduate students, and 515 professors. NTUST is an outstanding science and technology oriented university in Taiwan that is able to deliver world-leading AI research results and software development projects.

 

 

 

Onyx + NTUST Members

Onyx Healthcare has cooperated with key faculty members at the National Taiwan University of Science and Technology (NTUST) to establish the Onyx Healthcare–NTUST Medical AI Joint Research Center. NTUST faculty will leverage their expertise in cutting edge knowledge in software design and collaborate with Onyx Healthcare hardware engineers to create the next generation of medical AI products.

AI Hardware Accelerator

The cooperation aims to create continuing advances for medical devices utilizing AI acceleration for medical AI modelling and simulation, software/hardware design, and manufacturing operations.

Medical AI AIO

Results

Real world use cases for the burgeoning technology created by the Joint Research Center include medical laboratories where personnel can use external medical devices to enhance ultrasonic imaging to understand the effects of the local delivery of medicine, or perform big data analysis on data to improve efficiency, accuracy, and quality of medical care while reducing cost.

 

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