Latest news with #Nurabot
Forbes
29-05-2025
- Business
- Forbes
Nvidia Is Investing Billions In Healthcare—Especially With Robotics And Hardware
Nvidia, which has gained immense popularity and fame in recent years thanks to its industry leading hardware and GPUs fueling the AI boom, has been investing billions of dollars to make in-roads into the healthcare industry. The company has always been interested in healthcare. In fact, it reports partnering with nearly 200 organizations and 3,500 startups as a part of its efforts in this space. More definitively, the company has made significant progress across the realms of healthcare delivery and life sciences through use-cases such as advancing protein structure prediction models, optimizing medical imaging LLMs and even progressing with VR technology. Earlier this month, the company announced a landmark partnership with Foxconn, which is one of the world's largest electronics and hardware manufacturers, to help develop a robust robotics infrastructure. Specifically, Foxconn will leverage Nvidia's technology to advance Nurabot, its collaborative nursing robot which is currently being tested in hospital settings to help alleviate time-consuming and physically tiring manual labor tasks. The companies will partner to build out the ecosystem for Nurabot as a part Foxconn's larger 'smart hospital' system, using Nvidia's experiences in supercomputing, digital twin technology and edge computing. The massive AI boom has brought with it numerous non-traditional players; in the case of Nvidia, it has been intriguing to see how a company that has traditionally been slotted as purely a hardware chip giant is transitioning to much more than that—partnering to actually help collaborators build out large language models, software solutions and entire ecosystems for the future of healthcare. One example is Philips, which announced last week that it would be working with Nvidia to use its 3D medical imaging models to create an MRI-specific solution. But this non-traditional approach is likely a positive step forward for the technology industry as a whole, which for decades, has been incredibly siloed into niche sub-sectors. In fact, to parallel this phenomenon, many software giants are also entering new territories which were perhaps previously considered not their forte. For example, Google has made immense investments in the hardware space, specifically to build out its Cloud Tensor Processing Units (TPUs). The company recently announced its latest TPU last month, designed to run significantly complex workloads and AI models at scale. Another example is Amazon, perhaps one of the best examples of a company that has largely diversified from its original core thesis. Although it started as an online retail giant, the company has made significant inroads into the world of healthcare AI as well. In fact, AWS is a leader in the healthcare and life sciences spaces, helping both customers and partners by powering their workloads and innovation using AWS' proprietary models and platform. Additionally, Amazon is also investing heavily in its own silicon as well; its Trainium chips are being developed to handle heavy machine learning capabilities for the next generation of AI development. Non-traditional approaches by these companies have created an incredibly competitive, yet innovative, environment. Hyperscalers, along with hundreds of smaller startups in this space, simply do not have time to make slow progress; rather, the heavy competition is forcing rapid innovation, progress and optimization, acting as the tide that is ultimately raising all the ships.
Arabian Post
20-05-2025
- Health
- Arabian Post
Nurabot: Taiwan's AI Nurse Robot Eases Healthcare Strain
Taiwan's healthcare system is undergoing a significant transformation with the introduction of Nurabot, an AI-powered nursing assistant developed by Foxconn in collaboration with Kawasaki Heavy Industries. Designed to alleviate the workload of nursing staff, Nurabot is currently being trialed in several of Taiwan's leading hospitals, including Taichung Veterans General Hospital , Baishatun Tung Hospital, Mazu Hospital, and Cardinal Tien Hospital. Equipped with advanced real-time sensing capabilities, Nurabot performs tasks such as delivering medications, patrolling wards, and guiding visitors. According to Foxconn, the robot can reduce nurses' workloads by up to 30%, allowing them to focus more on direct patient care. Shu-Fang Liu, deputy director of the nursing department at TCVGH, noted that the integration of robotic assistants like Nurabot helps reduce physical fatigue among nurses by minimizing the need for repetitive tasks, such as multiple trips to supply rooms. Nurabot is part of a broader initiative by Foxconn to develop smart hospital tools using NVIDIA technology. This includes AI models for tracking patient vitals and digital twins for optimizing hospital design. The integration of these technologies begins at data centers where NVIDIA supercomputers train extensive AI models. Hospitals then test and train robots in virtual environments before deploying them in real-time scenarios, utilizing NVIDIA technologies like Jetson Orin, Holoscan, and the Omniverse platform. Taiwan's commitment to digital health transformation is further exemplified by the Ministry of Health and Welfare's establishment of three AI centers aimed at advancing e-health. These centers focus on responsible AI execution, clinical AI certification, and AI impact research. Sixteen hospitals have been selected as 'indicator hospitals' to test and demonstrate these technologies, including National Taiwan University Hospital and Chang Gung Memorial Hospital. See also Bitcoin Power Theft Ring Exposed in Terengganu Raids In addition to Nurabot, other AI-driven initiatives are being implemented across Taiwan's healthcare institutions. Chi Mei Medical Center has deployed AI copilots to assist doctors, nurses, and pharmacists. These AI systems have significantly reduced the time required for tasks such as medical report writing and documentation of bed transfers, allowing healthcare professionals to spend more quality time with patients. Dr. Chia-Te Liao, director of Chi Mei's Center for Empirical Evidence and Health Policy, emphasized that the AI copilots are designed to support, not replace, medical staff, aiming to improve work-life balance and patient care. At China Medical University Hospital , AI models have been integrated into clinical practice to enhance diagnostic accuracy and efficiency. For instance, an AI-powered 'intelligent antimicrobial system' has reduced patient mortality by 25%, antibiotic costs by 30%, and antibiotic use by 50%. These AI models, hosted on Microsoft's Azure cloud platform, assist in diagnosing diseases like cancer and Parkinson's, and in treating stroke and heart attack patients more promptly. The adoption of AI and robotics in Taiwan's healthcare system addresses challenges posed by an aging population and a shortage of nursing professionals. By integrating advanced technologies, hospitals aim to enhance patient care, improve operational efficiency, and ensure sustainable healthcare delivery. While initial resistance from medical staff regarding the adoption of AI tools was observed, ongoing education and demonstration of the benefits have facilitated smoother integration into daily workflows.
Hindustan Times
20-05-2025
- Health
- Hindustan Times
Foxconn unveils Nurabot at Computex 2025, AI-powered future for nursing care
At Computex 2025 in Taipei, Nvidia CEO Jensen Huang spotlighted a standout innovation that could reshape the healthcare industry: Nurabot, a collaborative nursing robot developed by Foxconn in partnership with Kawasaki Heavy Industries. Designed to combat nurse burnout and staff shortages, projected to reach 4.5 million globally by 2030, Nurabot is a shining example of how AI and robotics can ease pressure on clinical teams. Field-tested at Taichung Veterans General Hospital (TCVGH), Nurabot helps nurses by automating physically demanding and repetitive tasks, such as delivering medication, transporting specimens, and patrolling wards. With Nvidia's Jetson Orin edge computing platform and Holoscan sensor processing, Nurabot navigates hospital environments efficiently and safely. Virtual training via Nvidia Isaac for Healthcare and Omniverse simulations ensures the robot is well-prepared before real-world deployment. Mobile Finder: Samsung Galaxy S25 Edge launched in India 'In one of our wards, Nurabot delivers wound care kits and health education materials,' said Shu-Fang Liu, deputy director of nursing at TCVGH. 'It saves multiple trips, reduces fatigue, and frees us to focus more on patients.' Foxconn's broader vision for AI-enabled smart hospitals is built on Nvidia's full-stack solution, from data centre to bedside. Using DGX systems at its Hon Hai Super AI Computing Center and the Nvidia NeMo framework, Foxconn has developed FoxBrain, a large language model capable of speech recognition and natural dialogue. It powers Nurabot and supports the CoDoctor AI platform, improving diagnostics in fields like cardiology, oncology, and ophthalmology. Hospitals such as TCVGH, Cardinal Tien, and Baishatun Tung – Mazu Hospital are also benefiting from digital twins, created in Nvidia Omniverse, to design and optimise ward layouts and train robotic assistants in realistic 3D simulations. TCVGH's ongoing trial of Nurabot is already seeing strong results, with plans to deploy dozens more units by year-end. Liu hopes future versions will interact in multiple languages and assist with patient mobility, allowing a single nurse to safely move a patient, where two are typically needed.
