Latest news with #KimberlyPowell
Business Insider
15-05-2025
- Health
- Business Insider
How tech's biggest powerhouses from Amazon to Nvidia are betting on healthcare AI
Microsoft: Doubling down on its healthcare cloud Microsoft first entered healthcare nearly two decades ago. Now, it's integrating AI into its cloud solutions to automate hospital operations. Microsoft bought the ambient intelligence company Nuance in 2022 for nearly $20 billion. Nuance dominates the market for AI-powered medical scribing, though it now faces tough competition from startups like $2.75 billion Abridge. Its latest release is Dragon Copilot, a solution Microsoft announced in March that integrates the company's voice dictation tech with Nuance's ambient listening, in a move the company said would help doctors save even more time documenting patient visits. In an October 2024 KLAS report, most healthcare organizations said they considered Nuance when purchasing a clinical documentation solution, in part due to prior contracts with Microsoft and the company's extensive healthcare software suite. The tech giant is integrating AI into those other healthcare cloud offerings to organize and analyze medical records and automate tasks like patient scheduling and paperwork. Microsoft also partners with Nvidia to combine Nvidia's AI tech with Microsoft's cloud solutions to power advanced healthcare and biopharma research and better medical imaging. Apple: Banking on AI-powered consumer health tracking Apple's AI efforts have been understated compared to its peers, as have its healthcare investments. Much of Apple's healthcare attention to date has focused on its Apple Watch, which includes several AI-powered health features for consumers, from AI-powered fall detection and irregular heartbeat tracking to sleep analysis. After Apple released its augmented reality headset Apple Vision Pro last year, the company said multiple healthcare organizations were using the new tech for various applications, including reviewing patient surgical plans or training clinicians to use new medical devices. Apple's next big health AI push could be on the horizon. Bloomberg News reported at the end of March that Apple was developing an AI-powered health coach to provide personalized lifestyle recommendations based on its consumers' health data, as tracked through devices like the Apple Watch and iPhone. Nvidia: Bringing "physical AI" to the hospital Chip giant Nvidia is digging into a wide range of healthcare specialties, from radiology to drug discovery, primarily by partnering with other healthcare companies. Nvidia VP of healthcare Kimberly Powell told Business Insider in April that medical imaging was one of Nvidia's entry points into healthcare. The company has notched a number of medical imaging partnerships powered by its AI platforms, most recently with GE Healthcare in March. GE Healthcare plans to use Nvidia's tech to simulate autonomous medical imaging, including autonomous X-rays and ultrasounds, to test their application in physical medical devices. It's a similar collaboration to Nvidia's existing deal with IT solutions provider Mark III to work with healthcare systems to create simulations of their hospital environments for AI development. "Physical AI," or AI that can analyze and interact with the physical world, is a key part of Nvidia's vision for healthcare. "This physical AI thing is coming where your whole hospital is going to turn into an AI," Powell told BI in November. "You're going to have eyes operating on your behalf, robots doing what is otherwise automatable work, and smart digital devices. So we're super excited about that, and we're doing a lot of investments." Nvidia is also an investor in several healthcare startups, most notably clinical documentation startup Abridge, which raised $250 million in February from investors including Nvidia's venture arm NVentures at a $2.75 billion valuation, and Hippocratic AI, which raised $141 million in Series B funding from NVentures and other firms at a $1.64 billion valuation. It's also partnered with many of its portfolio companies, such as Moon Surgical, a robotics company that uses Nvidia's medical device AI platform Holoscan for its surgical assistant robot. Amazon: Adding more tech to consumer care Amazon is bringing AI to doctors, patients, and pharma companies across its healthcare businesses. In March, Amazon announced it was testing a new chatbot feature called Health AI, which the company says can give users advice and suggest products for common medical needs. The health AI assistant can direct users to Amazon's online pharmacy or to talk to a doctor at its primary care chain, One Medical, for further care. An Amazon spokesperson told BI that the chatbot is in beta, and the retailer is collecting feedback from customers and working on new features for its AI assistant. The retail giant also offers its own medical transcription tool, called HealthScribe, which analyzes doctor-patient conversations to create clinical notes for providers. It's one of several AI capabilities that One Medical's clinicians use, in addition to features that assist with patient messaging and care coordination. Amazon provides a number of generative AI tools through Amazon Web Services for life sciences companies, too. Genentech and AstraZeneca, for example, have used AWS's AI tools for drug discovery research and clinical trial tasks. Amazon has also suffered more false starts in healthcare than its peers. The retailer shut down its telehealth service Amazon Care in 2022, three years after its launch, and discontinued its wearable fitness tracker Amazon Halo in 2023. Last year, One Medical came under fire after media reports and a malpractice lawsuit raised concerns about the primary care chain's patient safety practices. An Amazon spokesperson said that the company is prohibited by law from discussing patient records, but that One Medical has extensive quality and safe measures in place for patient care. Alphabet: Powering better health research with foundation models and search tools Alphabet has created several healthcare AI tools that build upon Google's core search capabilities, with a focus on healthcare-specific foundation models. Google launched MedLM, a set of healthcare foundation models, in 2023 to enable tech to summarize patient-doctor conversations, conduct clinical research, and automate insurance claims processing. In October, it announced Vertex AI Search for Healthcare, a specialized search engine that gives clinicians answers to their medical questions about a patient's health records or medical documents. It's also built a research AI system designed to assist with patient diagnosis, which can analyze data such as medical images and simulate patient-provider interactions. On the consumer front, Google has released a number of tools with health applications, such as Google Lens, which allows people to take a picture of their own skin and search for visually similar skin conditions. It's also working on personal health AI models that can interpret sleep and fitness data to offer personalized wellness suggestions. Isomorphic Labs, Alphabet's AI research arm spun out of Google DeepMind, has partnered with pharma giants like Novartis and Eli Lilly on more efficient drug development, building on DeepMind's AlphaFold protein structures. Dr. Karen DeSalvo has led Google's health initiatives since 2019. At the beginning of May, she announced her retirement as chief health officer; Google Health chief clinical officer Dr. Michael Howell will replace her when she steps down in August. Oracle: Leveling up health records with AI Oracle's long-awaited plans to revolutionize electronic medical records with AI will come to fruition this year, according to the tech company. In October, Oracle unveiled its "next-generation" electronic health record system, which the company said would incorporate several of Oracle's cloud and AI capabilities, including clinical AI agents, search capabilities, and patient data analytics. Its goal is to seamlessly integrate AI into providers' workflows and automate healthcare administrative tasks. The AI-powered EHR is slated for release to early adopters this year, the company said. Oracle made its biggest investment toward this goal in 2022, when it bought EHR company Cerner for $28.3 billion and rebranded it as Oracle Health. Its efforts to transform Cerner have hit a number of snags, however. BI reported in May 2024 that flaws in Cerner's EHR rollout at the Department of Veterans Affairs led to thousands of medical orders vanishing, resulting in delayed or missed treatments for many veterans, and leaving Oracle scrambling to fix Cerner's tech after the acquisition. Oracle is also financially backing Stargate, a joint venture with OpenAI, SoftBank, and investment firm MGX, to invest up to $500 billion in US-based AI infrastructure. Oracle cofounder and executive chairman Larry Ellison said in January that the team is working on tools for advancing disease detection, including cancer detection, with AI. Salesforce: Selling ready-made health AI agents Salesforce is jumping onto the AI agent trend with a range of pre-built AI assistants for healthcare organizations. In February, the cloud-based software company announced Agentforce for Health, a library of AI agents that healthcare companies can use to automate patient tasks like appointment booking, provider tasks like summarizing a patient's medical history, and life sciences tasks like clinical trial matching. Salesforce also landed a partnership with electronic health record company Athenahealth to integrate Agentforce for Health capabilities into Athenahealth's EHR. The agentic AI release builds on Salesforce's previous healthcare assistant tool, Einstein Copilot, which launched in March 2024 to allow providers to query patient data as consolidated in Salesforce's Health Cloud. Salesforce is also powering new AI platforms created on its Health Cloud, such as Blue Shield of California's AI-powered prior authorization tech, which the two companies said would enter testing in early 2025. Palantir: Partnering with health systems on AI transformation Palantir is primarily known for its billions of dollars in defense tech contracts with the US government. But it's also spent the past four years building out a healthcare business, working with top healthcare systems to improve their operations with AI. Palantir works with health systems including Cleveland Clinic, Tampa General, and Nebraska Medicine to automate key hospital functions, including revenue cycle management, staffing and scheduling, and patient flow, co-heads of healthcare Jeremy David and Drew Goldstein told BI in April. Palantir said in May it would work with the Joint Commission, a nonprofit that evaluates healthcare organizations for accreditation, to streamline the Joint Commission's data collection process and help hospitals manage their quality standards using Palantir's AI and analytics. Palantir is also partnering with R1 RCM, the AI-powered revenue cycle management company acquired by TowerBrook and CD&R in an $8.9 billion take-private deal in August. Beyond its partnerships, Palantir aims to equip more healthcare startups with its AI tools through its software platform HealthStart.
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
