Foxconn Showcases AI Agents and Hospital Robotics for Next-Generation Smart Healthcare
NVIDIA technologies
support clinical AI orchestration, runtime security and digital twins across
Foxconn’s healthcare ecosystemOctober 2026, Taipei, Taiwan – At Hon Hai Tech Day 2026
(HHTD26), Foxconn’s Smart Healthcare exhibition showcases its vision for
AI-driven healthcare across the care continuum, organized around three key
areas: AI-Assisted Diagnosis & Digital Twins, Embodied AI, and Smart
Healthcare Manufacturing.
By integrating AI agents, embodied AI, and
multimodal medical models, Foxconn connects clinical decision-making with
intelligent devices, hospital workflows, and manufacturing capabilities. The
exhibition demonstrates Foxconn’s end-to-end integration expertise, spanning AI
software, edge computing, robotics, and healthcare manufacturing to build a
comprehensive smart healthcare value chain.
Foxconn brings together its ecosystem, real-world
deployment environments, products, edge-to-cloud infrastructure, and
hardware-software integration. Aligned with NVIDIA’s “Five-Layer Cake” AI
strategic framework, this approach connects AI technologies with intelligent
medical devices and real clinical environments, advancing healthcare AI from
individual proof-of-concept applications toward integrated systems and
real-world clinical deployment.
CoDoClaw: Advancing from AI Models to Clinical AI Agents
As a key highlight of the exhibition, CoDoClaw,
Foxconn’s Clinical AI Orchestrator, marks a significant milestone in the
evolution from AI models to AI agents. Jointly developed by Foxconn and Tung’s
Taichung MetroHarbor Hospital, CoDoClaw focuses on diabetes and cardiometabolic
multimorbidity management. By integrating multimodal medical models with
agentic AI, it connects data and AI capabilities across specialties and
healthcare systems, advancing clinical applications from standalone diagnostic
support to cross-specialty decision-making and workflow coordination.
Built on NVIDIA NemoClaw open agent
blueprint and NVIDIA OpenShell secure runtime
software, CoDoClaw is designed to interpret clinical contexts, reason through
tasks, and orchestrate AI agents within defined clinical workflows. To address
the stringent security requirements of healthcare environments, CoDoClaw
integrates centralized security policy management, sandbox isolation, and
runtime access controls, alongside NVIDIA Sentryagent
identity and delegated authority verification capabilities. Together, these
mechanisms strengthen runtime security, mitigate risks such as unauthorized
actions, sensitive data exposure, and credential leakage, and establish a
trusted foundation for the responsible adoption of autonomous AI agents in
clinical settings.
Extending AI Clinical Capabilities Across Diverse
Healthcare Settings
Foxconn is also extending its AI-powered clinical
capabilities into a variety of diagnostic and care environments.
In the telemedicine zone, CoDoctor EKG Screener, an
AI-powered electrocardiogram analysis system, brings real-time cardiovascular
risk screening and anomaly alerts beyond hospitals into home-based care,
community healthcare, and postoperative monitoring environments.
At the endoscopy center, CoDoctor Endovia, an
AI-assisted colonoscopy analysis software solution, is jointly developed by
Foxconn, Kaohsiung Medical University Chung-Ho Memorial Hospital, YUAN
High-Tech, Yuan Yu Industry, By integrating edge AI into endoscopic examination
workflows, the solution provides real-time lesion detection, pathological
classification, bowel preparation quality monitoring, withdrawal speed
analysis, and intraoperative 3D navigation. These capabilities help improve
examination quality and diagnostic consistency.
Integrated Chemotherapy Compounding and Delivery System
A major exhibition highlight is the Integrated
Chemotherapy Compounding and Delivery System, developed through collaboration
among Foxconn, Taipei Veterans General Hospital, Kawasaki Heavy Industries,
Yuyama Manufacturing, and FARobot. The system brings together automated
medication compounding, in-hospital logistics, and clinical delivery into an
integrated healthcare automation ecosystem.
Using NVIDIA
Omniverse libraries, Foxconn builds digital twins to simulate and
evaluate chemotherapy compounding, robotic transport and delivery workflows
before deployment, allowing high-risk
chemotherapy workflows to be simulated, monitored, and continuously optimized.
It integrates ChemoRo the Spike automated chemotherapy compounding equipment,
FARobot autonomous mobile robots, and Foxconn’s Nurabot nursing collaborative
robot to coordinate the entire workflow, from compounding and transportation to
distribution and clinical delivery.
By connecting these systems into a coordinated,
end-to-end workflow, Foxconn aims to enhance medication safety, improve
clinical efficiency, and increase operational reliability in complex hospital
environments.
2026/10/30