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Taiwan Medical Facilities Deploy Life-Saving Improvements With NVIDIA System-Builder Companions

Main healthcare organizations throughout the globe are utilizing agentic AI, robotics and digital twins of medical environments to boost surgical precision, increase workflow effectivity, enhance medical diagnoses and extra.

Bodily AI and humanoid robots in hospitals have the potential to automate routine duties, help with affected person care and tackle workforce shortages.

That is particularly essential in locations the place challenges to optimum healthcare providers are paramount. Such challenges embody hospital overcrowding, an ageing inhabitants, rising healthcare prices and a scarcity of medical professionals, all of that are affecting Taiwan, in addition to many different areas and international locations.

On the Computex commerce present in Taipei, NVIDIA at this time showcased how main Taiwan medical facilities are collaborating with high system builders to combine sensible hospital applied sciences and different AI-powered healthcare options that may assist cut back these points and save thousands and thousands of lives.

Cathay Basic Hospital, Chang Gung Memorial Hospital (CGMH), Nationwide Taiwan College Hospital (NTUH) and Taichung Veterans Basic Hospital (TCVGH) are among the many high facilities within the area pioneering healthcare AI innovation.

Deployed in collaboration with main system builders corresponding to Advantech, Onyx, Foxconn and YUAN, these options faucet into NVIDIA’s agentic AI and robotics applied sciencestogether with the NVIDIA Holoscan and Igx platforms, Nvidia Jetson for embedded computing and NVIDIA Omniverse for simulating digital worlds with OpenUSD.

Cgim Boosts AI-Powered Medical Imaging

With a median of 8.2 million outpatient visits and a couple of.4 million hospitalizations a yr,  CGMH estimates {that a} third of the Taiwanese inhabitants has sought remedy at its huge community of hospitals in Taipei and 7 different cities.

The group is pioneering sensible hospital innovation by enhancing surgical precision and workflow effectivity by way of superior, AI-powered colonoscopy workflow options, developed in collaboration with Advantech and based mostly on the NVIDIA Holoscan platform, which incorporates the Holoscan SDK and the Holoscan Sensor Bridge operating on NVIDIA IGX.

NVIDIA Holoscan is a real-time sensor processing platform for edge AI computewhereas NVIDIA IGX gives enterprise-ready, industrial edge AI purpose-built for medical environments.

Utilizing these platforms, CGMH is accelerating AI integration in its colonoscopy diagnostics procedures. Deployed in gastrointestinal session rooms, the AI-powered instrument collects colonoscopy streams to coach a custom-made mannequin constructed on Holoscan and gives real-time colonic polyps identification and classification.

Colonoscopy instruments at CGMH. Picture courtesy of CGMH.

CGMH’s AI infrastructure — comprising NVIDIA accelerated computing, NVIDIA DGX methods, the Mona framework, NVIDIA TensorRT-LLM open-source library, NVIDIA Dynamo inference framework, and the NVIDIA NeMo and Clara platforms — allows accelerated analysis and growth throughout the group.

CGMH serves practically 50 AI agent fashions that each day assist the hospital analyze medical imaging, enhancing diagnostic accuracy, throughput and real-time inference at scale. For instance, NVIDIA Triton-powered AI sped new child examination document processing by 10x.

Cathay Basic Hospital Improves Diagnostics With AI

Cathay Basic Hospitala Taipei-based healthcare middle that gives hospital administration and medical providers, has collaborated with Nationwide Taiwan College Hospital, medical pc producer Onyx and software program supplier aetherAI to develop an AI-assisted colonoscopy system that highlights lesions, detects hard-to-spot polyps and points alerts to assist physicians with diagnoses.

Polyp detection throughout colonoscopy. Picture courtesy of aetherAI and Onyx.

Powered by a compact, plug-and-play AI BOX machine — constructed with the NVIDIA Jetson AGX Xavier module — the AI system is skilled on over 400,000 high-quality, physician-annotated photographs collected from sufferers with numerous and extreme lesions over 4 years.

The system can obtain as much as 95.8% accuracy and sensitivity, and research have proven that it may well enhance adenoma detection charges by as much as 30%. These enhancements help physicians in decreasing diagnostic errors and making extra knowledgeable remedy selections, in the end contributing to improved affected person outcomes.

Ntuh Detects Liver Tumors, Cardiovascular Dangers With AI

Within the 100+ years since its founding, Ntuh has nurtured numerous professionals in medication and is famend for its trusted scientific care. The nationwide educating hospital is now adopting AI imaging to extra rapidly, precisely diagnose sufferers.

NTUH’s HeaortaNet mannequin, skilled on greater than 70,000 axial photographs from 200 sufferers, automates CT scan segmentation of the center, together with the aorta and different arteries, in 3D, enabling speedy evaluation of dangers for heart problems. The mannequin, which achieves excessive segmentation accuracy for the pericardium and aorta, considerably diminished knowledge processing time per case from an hour to about 0.4 seconds.

As well as, NTUH collaborated with the Good Liver Basis and system builder YUAN to develop a diagnostic-assistance system for liver most cancers detection throughout ultrasounds. It faucets into an Nvidia jetson orin nx module and a deep studying mannequin skilled on greater than 5,000 annotated ultrasound photographs to determine malignant and benign liver tumors in actual time.

YUAN and NTUH’s liver most cancers detection system turns an ultrasound machine into an AI-assisted diagnostic instrument. Picture courtesy of YUAN.

NVIDIA DeepStream and TensorRT SDKs speed up the system’s deep studying mannequin, in the end serving to clinicians detect tumors earlier and extra reliably. As well as, NTUH is utilizing NVIDIA DGX to coach AI fashions for its system that detects pancreatic most cancers from CT scans.

TCVGH Streamlines Multimodal Imaging and Medical Documentation Workflows With AI

Taichung Veterans Basic Hospital (TCVGH), a medical middle and a educating hospital administered by the Veterans Affairs Council in Taipei, has partnered with Foxconn to construct bodily and digital robots to enhance staffing, enhancing clinician productiveness and affected person experiences.

Foxconn developed an AI system that may analyze medical photographs and spot indicators of breast most cancers sooner than conventional strategies, utilizing NVIDIA Hopper GPUs, NVIDIA DGX methods and the MONAI framework. By tapping into scientific knowledge and multimodal AI imaging, the system creates 3D digital breast fashions, rapidly highlighting areas of concern in scans to assist radiologists make quicker, extra assured selections.

Foxconn can be working with TCVGH to construct sensible hospital options just like the AI nursing collaborative robotic Nurabot and tapping into NVIDIA Omniverse to create real-time digital twins of hospital environments, together with nursing stations, affected person wards and corridors. These digital replicas function high-fidelity simulations the place Jetson-powered service robots may be skilled to autonomously ship medical provides all through the hospital, in the end enhancing care effectivity.

AI nursing collaborative robotic Nurabot. Picture courtesy of Foxconn.

As well as, TCVGH has developed and deployed its Co-Healer system, which integrates the Taiwanese native giant language mannequin TAIDE-LX-7B to streamline scientific documentation processes with agentic AI.

Co-Healer, constructed on the Nvidia Jetson Xavier nx module, processes and helps summarize medical paperwork — corresponding to nursing progress notes and well being training supplies — and helps medical examination preparation by offering college students with instantaneous entry to nursing pointers and patient-specific protocols for scientific procedures and diagnostic exams. This helps healthcare staff alleviate burnout whereas giving sufferers a clearer understanding of their diagnoses.

Study extra concerning the newest AI developments in healthcare at NVIDIA GTC Taipeioperating Might 21-22 at COMPUTEX.

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