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National Yang Ming Chiao Tung University Joins Forces with Chunghwa Telecom to Showcase AI Smart Healthcare at the Technology and Medical Exhibition
Chunghwa Telecom (2412) collaborates with National Yang Ming Chiao Tung University to stay ahead in the 5G era and AI-driven smart healthcare development. They are showcasing their joint efforts at the '2021 Taiwan Medical Technology Exhibition.' With National Yang Ming Chiao Tung University's expertise in advanced medical care and clinical practice, coupled with Chunghwa Telecom's state-of-the-art AI and cloud platform resources, they are collectively working on pioneering AI-driven smart healthcare services.
The General Manager of Chunghwa Telecom's Enterprise Customer Branch, Ms. Wu Li-Hsiu, expressed that the combination of Chunghwa Telecom's AI Smart Analysis Platform with National Yang Ming Chiao Tung University's medical expertise has resulted in remarkable achievements, displayed at the Medical Technology Exhibition. They are committed to enhancing collaboration between the information and communication platform and the medical field to further develop a wide range of 5G AIoT smart healthcare services in the future.
Chunghwa Telecom's 'AI Smart Analysis Platform (AI PaaS)' has been at the forefront of developing a diverse range of AI-driven healthcare services. These applications have already been adopted by government departments, manufacturing industries, and the healthcare sector. The platform offers essential functionalities like Machine Learning Lifecycle Management (MLOps) and automated machine learning for numerical data (AutoML).
The team at National Yang Ming Chiao Tung University's Center for Digital Medicine and Smart Healthcare has harnessed the powerful AutoML feature and MLOps lifecycle management of AI PaaS to successfully develop a wide range of medical AI projects. These projects include AI brain imaging, AI sleep detection, AI arrhythmia and atrial fibrillation detection, AI nicotine detection, and other essential AI models. Chunghwa Telecom has expressed its commitment to further integrating medical AI models with international public clouds through AI PaaS hybrid cloud resource management capabilities, expanding their reach to overseas markets in the future.






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