Foxconn Teams with NVIDIA to Revolutionize Global Healthcare Robotics

In a significant move towards integrating advanced technology within the healthcare sector, Foxconn, the world's largest electronics manufacturer, has partnered with NVIDIA to enhance robotics and AI solutions for hospitals globally. This collaboration aims to address the anticipated shortage of 4.5 million nurses by 2030, as reported by the World Health Organization, by leveraging NVIDIA's cutting-edge technologies.

Transforming Healthcare with AI and Robotics

Foxconn is deploying innovative solutions such as Nurabot, a collaborative nursing robot designed to alleviate the workload of healthcare professionals by performing routine tasks like transporting medication and samples. This initiative is part of a broader strategy to develop smart hospital applications utilizing NVIDIA's technologies, which are currently being implemented in leading medical centers across Taiwan.

These applications incorporate AI models for patient health monitoring and digital twins of hospital facilities, aiding management teams in design and operational planning. Such advancements are poised to transform traditional medical centers into smart hospitals powered by NVIDIA's physical AI and three-computer solution, which integrates AI model training, digital twin simulation, and edge computing systems for fast AI inference on robots and sensors.

Global Adoption and Impact

Hospitals in Taiwan, including Taichung Veterans General Hospital, Baishatun Tung Hospital, and Cardinal Tien Hospital, are among the first to implement Foxconn's smart hospital solutions. Shu-Fang Liu, deputy director of the nursing department at Taichung Veterans General Hospital, emphasized the role of robots in enhancing healthcare delivery, stating that they allow clinicians to focus on providing more personalized care.

Data-Driven Healthcare Solutions

The development of Foxconn's smart hospital solutions begins in the data center, where high-performance computing resources are utilized to create large AI foundation models. A notable example is FoxBrain, a large language model developed using the NVIDIA NeMo framework, capable of performing tasks such as text-to-speech and natural language processing, powered by NVIDIA Hopper GPUs.

Additionally, Foxconn's Honhai Super AI Computing Center 1, featuring NVIDIA DGX systems, plays a crucial role in developing healthcare-specific AI models. These models are offered through Foxconn's CoDoctor AI platform, which enhances diagnostic accuracy and optimizes clinical workflows, including retinal imaging, vital sign monitoring, and cancer screening.

For more detailed information, visit the NVIDIA blog.