Latest news with #IsaacforHealthcare
Yahoo
6 days ago
- Business
- Yahoo
Nvidia's David Niewolny on the future of AI in medical devices
This story was originally published on MedTech Dive. To receive daily news and insights, subscribe to our free daily MedTech Dive newsletter. As more medical device companies incorporate artificial intelligence, chip designer Nvidia is playing a central role. The company has struck partnerships with top medtech firms including Medtronic, Johnson & Johnson, GE Healthcare and Philips. The uses span a breadth of technologies. In imaging, Nvidia has partnered with GE Healthcare around autonomous X-ray and ultrasound solutions, and is working with Philips to develop foundation models, a type of model that can be used for a wide variety of tasks, for MRI machines. In robotics, J&J's Monarch platform for bronchoscopy uses Nvidia's computing platform. Nvidia also debuted a new developer framework for healthcare robotics in March, called Isaac for Healthcare. The system features three computers to generate synthetic data to simulate workflows, create virtual environments where robots can safely learn skills, and a platform to deploy applications and for real-time sensor processing. MedTech Dive spoke with David Niewolny, director of business development for healthcare and medical at Nvidia, about the company's partnerships and the future of AI in medical devices. This interview has been edited for length and clarity. DAVID NIEWOLNY: In the last 18 months, we've seen this really fast progression in terms of healthcare and medtech adopting generative AI. That's starting the idea of creating — drafting clinical notes, generating synthetic data for training. Devices are now looking at how can they begin bringing agentic AI into these applications. You're seeing digital agents being an assistant to the healthcare provider or the patient with automating workflows, driving more context-aware support for clinicians. Then you get to where we see the future. Where a lot of the AI and innovation is happening is in the idea of physical AI. And that brings us into this role of robotics. The easy one to think of is surgical AI. But there's a huge number of applications. One specific use case that I talked about in Taiwan [at GTC Taipei] is with some of these more operational robotics. Think of a nurse assistant in terms of delivering medication, bringing different supplies around a hospital, making sure different areas of the hospital are stocked. That was around completely transforming the way that you would look at doing medical imaging in the future. We took two initial use cases, one being the idea of an autonomous X-ray. Think of a future world where you no longer have the X-ray tech. You now have a digital agent that's essentially checking you in. You walk into a room where there's another robot, it could be a digital agent, that's providing you with all of the guidance for where to stand, when to hold your breath and how to position yourself. You stand in one spot, and then the actual machine positions itself. You can also look at some of the generative AI applications, where it can hand a doctor a full report on everything that it saw in terms of its clinical findings. In that particular case, now you're expanding the access to care because you essentially have these fully autonomous systems that are doing medical imaging. X-ray is one that we announced, and the other one is around ultrasound. In each one of these cases, GE Healthcare is working with us and collaborating on a methodology and tools to build these robotic systems. Everything is about building an ecosystem. You look at all of the great work that we can do from accelerating a lot of these applications with AI and now robotics, going from Nvidia direct to a healthcare provider, there's just too big of a gap. They don't have the developers in-house to begin building this. So, then you work backwards in that ecosystem, and you realize it's the medtech companies that are building out all of these devices and solutions. What we're looking at doing is, how do we bring all of those components of the ecosystem together, building on a common platform? Computers were not mainstream until Windows opened the door for this huge influx of software. A lot of this learning we took from another industry: automotive. We essentially needed to create a fully simulated environment, train on that simulated data, take those algorithms and move them down to the edge. We took those learnings and said, 'What other areas are ripe for disruption?' Medtech, specifically, has the most to benefit from this opportunity of having a common platform. But at the same time, it had a big hurdle to jump over. There wasn't any single company in that ecosystem, as we saw it, that could essentially build out that platform. Agentic AI has a whole number of applications. A partner of ours, Abridge, leveraged a lot of our technology to do clinical documentation. They're integrating with major EHRs, and they're continuing to get more and more hospital users. You also have some of these agents actually working right alongside a surgeon, where now you have an assistant in the room, where you can begin asking questions, pulling up the patient's medical records, adjusting some of the devices in the room. One of our partners, Moon Surgical, actually downloaded their entire instructions for use manual into an agent that a doctor or surgeon can reference for things like setup. Instead of referencing a 1,000-page manual, you can just ask the robot where to be set up, how to be set up and what are the best practices? Yes, people do get concerned. The key piece is, in almost every one of these cases, we're augmenting the team members that are already there. There's a shortage in place. This is actually improving care, as opposed to the narrative around taking people's jobs. We take a lot of those workloads that the staff sees as either busy work or mundane, and augment them. There's always going to be a surgeon involved here, but we can do sub-task automation and actually make some of those tasks easier for a surgeon. Recommended Reading Illumina, Nvidia team to use AI in foundation models Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Jordan News
22-05-2025
- Health
- Jordan News
Tireless Worker: First AI Nurse Begins Service in Taiwanese Hospitals - Jordan News
Amid a growing global crisis threatening the disappearance of millions of nurses by 2030, robots are making their way into hospitals in Taiwan, offering AI-powered technological solutions to ease the burden on medical staff and reshape the future of healthcare. اضافة اعلان This development comes as the World Health Organization warns of a severe shortage of approximately 4.5 million nurses in the coming years—largely due to increasing burnout in healthcare environments. In a proactive response, tech giants Foxconn and NVIDIA have partnered to develop robotic technologies that support nursing staff in Taiwan's hospitals. The latest innovation is an intelligent nursing assistant robot named "Norabot", specifically designed to handle difficult and repetitive tasks—reducing both the physical and mental strain on nurses, according to a report by Interesting Engineering. Norabot isn't the only innovation in this field. Foxconn also unveiled a full suite of smart hospital tools powered by NVIDIA's computing architecture. These include AI models to monitor patients' vital signs, a 'digital twin' system for optimizing hospital space design, and edge systems that enable real-time AI applications within hospital environments. The process begins in data centers, where AI models are trained on powerful NVIDIA machines and tested through virtual simulations. Once proven effective, these systems are deployed in real hospital settings, and several leading medical centers have already joined the initiative. Norabot, a product of collaboration between Foxconn and Kawasaki Heavy Industries, is equipped with multiple technologies, including the FoxBrain smart management system, Isaac for Healthcare for virtual training, and NVIDIA's Holoscan and Jetson Orin platforms for real-time sensing and processing. Daily tasks performed by Norabot include: Delivering medications Monitoring fetal health Guiding hospital visitors Transporting wound care supplies and educational materials to patients According to Foxconn, the robot can reduce nursing workloads by up to 30%. Shu-Fang Liu, Deputy Director of Nursing at Taichung Hospital, stated: "Having a robotic assistant reduces nurses' physical fatigue, limits frequent trips to supply rooms, and frees up more time to focus on patient care—especially during visiting hours or night shifts when staff is limited." The medical team is hopeful that future versions of Norabot will include more advanced features such as: Multilingual communication Facial recognition Physical assistance in moving or supporting patients Liu expressed a vision where Norabot might help a single nurse conduct respiratory therapy for a patient with lung problems—replacing the need for two nurses and allowing more efficient use of human resources.
Yahoo
18-03-2025
- Health
- Yahoo
NVIDIA and GE HealthCare Collaborate to Advance the Development of Autonomous Diagnostic Imaging With Physical AI
New NVIDIA Isaac for Healthcare Medical Device Simulation Platform to Fast-Track Development of Autonomous Imaging Systems and Robotics GE HealthCare and NVIDIA SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced a collaboration with GE HealthCare to advance innovation in autonomous imaging, focused on developing autonomous X-ray technologies and ultrasound applications. Building autonomy into systems like X-ray and ultrasound requires medical imaging systems to understand and operate in the physical world. This enables the automation of complex workflows such as patient placement, image scanning and quality checking. To accomplish this, GE HealthCare, a pioneering partner, is using the new NVIDIA Isaac™ for Healthcare medical device simulation platform, which includes pretrained models and physics-based simulations of sensors, anatomy and environments. The platform accelerates research and development workflows, enabling GE HealthCare to train, test and validate autonomous imaging system capabilities in a virtual environment before deployment in the physical world. 'The healthcare industry is one of the most important applications of AI, as the demand for healthcare services far exceeds the supply,' said Kimberly Powell, vice president of healthcare at NVIDIA. 'We are working with an industry leader, GE HealthCare, to deliver Isaac for Healthcare, three computers to give lifesaving medical devices the ability to act autonomously and extend access to healthcare globally.' Expanding Access to Imaging With Physical AI Ultrasounds and X-ray are the most common and widely used diagnostic imaging systems, yet nearly two-thirds of the global population lack access. Enhancing imaging systems with robotic capabilities will help expand access to care. NVIDIA and GE HealthCare have been working together for nearly two decades, building innovative image-reconstruction techniques across CT and MRI, image-guided therapy and mammography. 'GE HealthCare is committed to developing innovative technologies that redefine and enhance patient care,' said Roland Rott, president and CEO of Imaging at GE HealthCare. 'We look forward to taking advantage of physical AI for autonomous imaging systems with NVIDIA technology to improve patient access and address the challenges of growing workloads and staffing shortages in healthcare.' Isaac for Healthcare Closes Gap Between Simulation and Reality NVIDIA will also support other customers with Isaac for Healthcare for use cases including simulation environments. Simulation environments enable robotic systems to safely learn skills in a physically accurate virtual environment for real-world situations, such as surgery, that would otherwise be impossible to replicate. Isaac for Healthcare is a physical AI platform built on NVIDIA's three computers for robotics: NVIDIA DGX™, NVIDIA Omniverse™ and NVIDIA Holoscan. It includes AI models fine-tuned for healthcare robotics that can understand, act and see using enhanced vision and language processing. It also has a simulation framework for developers to accurately simulate medical environments and provides seamless deployment on NVIDIA Holoscan, an edge AI computing platform, to power robotic decision-making in the real world, in real time. Simulation options for medical sensors are often limited. With Isaac for Healthcare, developers can now access physics-based digital twins of medical environments, allowing them to import custom sensors, instruments and even anatomies to teach robots how to respond to various scenarios. These virtual environments help close the gap between simulation and real-world implementation, and enable rapid digital prototyping. Isaac for Healthcare allows for multi-scale simulation ranging from microscopic structures and surgery suites to full hospital facilities. Easy policy training in simulation allows robotic systems to learn how to respond in various medical scenarios in the operating room, and how to best support physician decision-making and patient care. Healthcare Robotics Ecosystem Rapidly Expands Isaac for Healthcare can help speed the development of robotic healthcare solutions by simulating complex medical scenarios, training AI models and optimizing robotic applications like surgery, endoscopy and cardiovascular interventions. Early adopters include Moon Surgical, Neptune Medical and Xcath. Isaac for Healthcare is enabling ecosystem partners to seamlessly integrate their simulation tools, sensors, robot systems and medical probes into a domain-specific simulation environment. Among early ecosystem partners are Ansys, Franka, ImFusion, Kinova and Kuka. Issac for Healthcare is now available in early access. About NVIDIA NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing. For further information, contact: Janette Ciborowski Enterprise Communications NVIDIA Corporation +1-734-330-8817 jciborowski@ Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA's products, services, and technologies; the collaboration between NVIDIA and GE HealthCare and the benefits and impact thereof; and GE HealthCare driving innovation in the diagnostic imaging industry — and these simulation tools being now in reach for the entire healthcare ecosystem are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein. © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA DGX, NVIDIA Isaac and NVIDIA Omniverse are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice. A photo accompanying this announcement is available at
