21 May 2025, Taipei, Taiwan – Foxconn continues to advance its digital health initiatives, unveiling a range of innovations at the 2025 GTC Taipei. Highlights include the AI-powered nursing collaborative robot, digital twin smart hospital development, and contributions to the global open-source medical imaging platform MONAI. These achievements will also be spotlighted during keynote sessions at GTC Taipei, underscoring Foxconn’s capabilities as a comprehensive smart healthcare solutions provider.

Leveraging Technology to Address Nursing Workforce Shortages: AI Collaborative Robot Enters Clinical Practice

Amid the challenges of an aging population and critical nursing staff shortages, Foxconn has partnered with Taichung Veterans General Hospital (ranked among Newsweek’s World’s Best Smart Hospitals 2025), Kawasaki Heavy Industries, to co-develop Nurabot, an AI-powered nursing collaborative robot.    

Nurabot is powered by Foxconn’s proprietary traditional Chinese large language model, FoxBrain, developed by the Hon Hai Research Institute (HHRI). The model supports TTS (text-to-speech), ASR (automatic speech recognition), and NLP (natural language processing), and is deployed via the Hon Hai Data Center. The robot is powered by Isaac for Healthcare, a physical AI platform built on NVIDIA’s three computers for healthcare robotics. NuraBot uses  the NVIDIA Jetson AGX Orin™system-on-moduleand is trainedusingNVIDIA Isaac Sim™ , a reference robotic simulation application built on NVIDIA Omniverse and running on NVIDIA OVX™ for physical-virtual simulation, enabling autonomous navigation, multimodal perception, and real-time environmental modeling.

In clinical applications, Nurabot performs repetitive tasks such as medication delivery, specimen transport, ward patrols, and patient education—helping reduce nurses’ workload by up to 30%. It also enhances care standardization and precision, enabling nursing staff to focus more on core patient care and clinical decision-making. Currently undergoing field trials at Taichung Veterans General Hospital, Nurabot is expected to be formally integrated into the hospital’s nursing team operations by the end of the year. Foxconn further elaborates on this application in the featured talk titled “AI Humanoid Collaborative Nursing Robots: Shaping the Future of Nursing and Care,” showcasing how AI and robotics help alleviate workforce burdens and reshape healthcare environments.

Launching a Smart Hospital Ecosystem: Digital Twin Deployment for Operational Simulation

As part of its smart hospital initiatives, Foxconn is collaborating with several medical institutions under planning and construction, including the Evergreen Branch of Taichung Veterans General Hospital, Baishatun Tung Hospital – Mazu Hospital, and Cardinal Tien Hospital. These collaborations involveconstructingphysically accurate digital twins of smart medical environments with NVIDIA Omniverse™ libraries and technologies.

These digital twins are used across three stages of hospital development: planning and design, workflow simulation, and operational optimization. Even in the early stages of construction and operations, hospitals can simulate AI-driven clinical scenarios, optimize spatial flow, and validate service efficiency and patient experience in advance.

With the integration of NVIDIAVideo Search & Summarization Agent (VSS ), hospitals can analyze real-time video data, automatically identify medical events and anomalies, generate visual summaries, and send real-time alerts. These capabilities empower management teams to make timely, data-driven decisions that enhance care quality and operational performance.

These digital twin environments also serve as key deployment sites for Nurabot, enabling simulation of robot routes, task validation, and training scenarios in virtual space. This accelerates clinical onboarding and cross-site implementation, further optimizing hospital operations and realizing truly patient-centered smart healthcare services.

Contributing to MONAI Open-Source Medical AI Models: Advancing AI Imaging Innovation

To advance core AI healthcare technologies, Foxconn has developed CoroSegmentater, a coronary artery segmentation model set to be contributed to the      MONAI Model Zoo as a shared open-source asset for the global medical AI community. Built on 256-slice CTA imaging and powered by MONAI’s Auto3Dseg framework, the model achieves high-precision 3D segmentation of cardiac and coronary structures.

CoroSegmentater can be deployed on NVIDIA OVX™ and simulated using Isaac Sim™ to reconstruct heart anatomy and vascular dynamics. It supports various clinical applications, including AI-assisted diagnostics, preoperative planning, and patient communication. The model is being featured in a special session at GTC Taipei, presented by David Niewolny, Sr. Director of Healthcare Business Development at NVIDIA. This contribution reflects Foxconn’s R&D strength in smart healthcare algorithms and its commitment to advancing global medical AI through open collaboration.

Driving Digital Health Globalization and Expanding AI Healthcare Impact

Through its collaborationwith NVIDIA and the cross-sector network of HiMEDt (Taiwan Digital Health Alliance), Foxconn is actively promoting the international expansion of Taiwan’s smart healthcare innovations. Moving forward, Foxconn will further enhance its smart hospital AI platforms, robotic applications, and clinical AI model development to transition global smart healthcare from proof-of-concept to large-scale implementation—paving the way toward a truly patient-centered intelligent care ecosystem.