Digital Event Horizon
NVIDIA-powered innovations are revolutionizing Taiwan's healthcare industry by enhancing patient outcomes through improved diagnostic accuracy and reduced medical errors. Leading medical centers are adopting AI systems that utilize NVIDIA's deep learning frameworks to tackle some of the industry's toughest challenges.
Innovative healthcare solutions are being deployed to tackle some of the industry's toughest challenges using NVIDIA-powered physical and digital robotics technologies.AI systems utilizing NVIDIA's deep learning frameworks, including DeepStream and TensorRT SDKs, are integrated into medical imaging workflows for earlier and more reliable disease detection.Examples of AI-powered medical solutions include Foxconn's breast cancer analysis system, TCVGH's Co-Healer system, and Cathay General Hospital's AI-assisted colonoscopy system.National Taiwan University Hospital (NTUH) has adopted AI imaging to quickly and accurately diagnose patients, including a liver cancer detection system using NVIDIA Jetson Orin NX module.The use of NVIDIA's agentic AI and robotics technologies is being seen in the deployment of physical AI and humanoid robots in hospitals for automation and patient care.
In a groundbreaking collaboration between Taiwan's top medical centers and leading system builders, innovative healthcare solutions are being deployed to tackle some of the industry's toughest challenges. The use of NVIDIA-powered physical and digital robotics technologies is transforming the way clinicians diagnose and treat patients, ultimately contributing to improved patient outcomes.
At the heart of these innovations are AI systems that utilize NVIDIA's deep learning frameworks, including DeepStream and TensorRT SDKs. These AI systems are being integrated into medical imaging workflows, enabling clinicians to detect diseases such as breast cancer and liver tumors earlier and more reliably.
One notable example is Foxconn's AI system, which can analyze medical images and spot signs of breast cancer earlier than traditional methods. Utilizing NVIDIA Hopper GPUs, NVIDIA DGX systems, and the MONAI framework, this system creates 3D virtual breast models, quickly highlighting areas of concern in scans to help radiologists make faster, more confident decisions.
Another example is TCVGH's Co-Healer system, which integrates NVIDIA Jetson Xavier NX modules to streamline clinical documentation processes with agentic AI. This system helps healthcare workers alleviate burnout while giving patients a clearer understanding of their diagnoses.
Additionally, Cathay General Hospital has developed an AI-assisted colonoscopy system that highlights lesions, detects hard-to-spot polyps and issues alerts to help physicians with diagnoses. Powered by a compact, plug-and-play AI BOX device built with the NVIDIA Jetson AGX Xavier module, this system is trained on over 400,000 high-quality, physician-annotated images collected from patients with diverse and severe lesions over four years.
Furthermore, National Taiwan University Hospital (NTUH) has adopted AI imaging to more quickly and accurately diagnose patients. The hospital's HeaortaNet model, which achieves high segmentation accuracy for the pericardium and aorta, significantly reduces data processing time per case from an hour to about 0.4 seconds.
In addition, NTUH collaborated with the Good Liver Foundation and system builder YUAN to develop a diagnostic-assistance system for liver cancer detection during ultrasounds. This system taps into an NVIDIA Jetson Orin NX module and a deep learning model trained on more than 5,000 annotated ultrasound images to identify malignant and benign liver tumors in real time.
The use of NVIDIA's agentic AI and robotics technologies is also being seen in the deployment of physical AI and humanoid robots in hospitals. These robots have the potential to automate routine tasks, assist with patient care, and address workforce shortages, which are especially crucial in places where challenges to optimal healthcare services are paramount.
At the COMPUTEX trade show in Taipei, NVIDIA showcased how leading Taiwan medical centers are collaborating with top system builders to integrate smart hospital technologies and other AI-powered healthcare solutions. These solutions tap into NVIDIA's agentic AI and robotics technologies, including the NVIDIA Holoscan and IGX platforms, NVIDIA Jetson for embedded computing, and NVIDIA Omniverse for simulating virtual worlds with OpenUSD.
CGMH Boosts AI-Powered Medical Imaging
With an average of 8.2 million outpatient visits and 2.4 million hospitalizations a year, Cathay General Hospital (CGMH) estimates that a third of the Taiwanese population has sought treatment at its vast network of hospitals in Taipei and seven other cities. The organization is pioneering smart hospital innovation by enhancing surgical precision and workflow efficiency through advanced, AI-powered colonoscopy workflow solutions.
These solutions are developed in collaboration with Advantech and based on the NVIDIA Holoscan platform, which includes the Holoscan SDK and the Holoscan Sensor Bridge running on NVIDIA IGX. Using these platforms, CGMH is accelerating AI integration in its colonoscopy diagnostics procedures. Deployed in gastrointestinal consultation rooms, the AI-powered tool collects colonoscopy streams to train a customized model built on Holoscan and provides real-time colonic polyps identification and classification.
CGMH's AI infrastructure — comprising NVIDIA accelerated computing, NVIDIA DGX systems, the MONAI framework, NVIDIA TensorRT-LLM open-source library, NVIDIA Dynamo inference framework, and the NVIDIA NeMo and Clara platforms — enables accelerated research and development across the organization. CGMH serves nearly 50 AI agent models that daily help the hospital analyze medical imaging, improving diagnostic accuracy, throughput and real-time inference at scale.
Taichung Veterans General Hospital (TCVGH) Streamlines Multimodal Imaging and Clinical Documentation Workflows With AI
Taichung Veterans General Hospital has partnered with Foxconn to build physical and digital robots to augment staffing, improving clinician productivity and patient experiences. These robots utilize clinical data and multimodal AI imaging to create 3D virtual breast models, quickly highlighting areas of concern in scans to help radiologists make faster, more confident decisions.
Foxconn is also working with TCVGH to build smart hospital solutions like the AI nursing collaborative robot Nurabot and tapping into NVIDIA Omniverse to create real-time digital twins of hospital environments. These digital replicas serve as high-fidelity simulations where Jetson-powered service robots can be trained to autonomously deliver medical supplies throughout the hospital, ultimately improving care efficiency.
NTUH Detects Liver Tumors, Cardiovascular Risks With AI
National Taiwan University Hospital has adopted AI imaging to more quickly and accurately diagnose patients. The hospital's HeaortaNet model, which achieves high segmentation accuracy for the pericardium and aorta, significantly reduces data processing time per case from an hour to about 0.4 seconds.
In addition, NTUH collaborated with the Good Liver Foundation and system builder YUAN to develop a diagnostic-assistance system for liver cancer detection during ultrasounds. This system taps into an NVIDIA Jetson Orin NX module and a deep learning model trained on more than 5,000 annotated ultrasound images to identify malignant and benign liver tumors in real time.
Learn more about the latest AI advancements in healthcare at NVIDIA GTC Taipei, running May 21-22 at COMPUTEX.
Related Information:
https://www.digitaleventhorizon.com/articles/Taiwan-Medical-Centers-Revolutionize-Healthcare-with-NVIDIA-Powered-Innovations-deh.shtml
https://blogs.nvidia.com/blog/taiwan-medical-centers-system-builder-partners/
Published: Mon May 19 01:08:05 2025 by llama3.2 3B Q4_K_M
