NVIDIA and American College of Radiology AI-LAB Team to Accelerate Adoption of AI in Diagnostic Radiology Across Thousands of Hospitals
About the American College of Radiology
The American College of Radiology (ACR), founded in 1924, is a professional medical society dedicated to serving patients and society by empowering radiology professionals to advance the practice, science, and professions of radiological care.
About NVIDIA
NVIDIA’s (NASDAQ: NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. More information at http://nvidianews.nvidia.com/.
ertain statements in this press release including, but not limited to, statements as to: NVIDIA and the American College of Radiology accelerating adoption of AI in diagnostic radiology across thousands of hospitals; NVIDIA Clara AI toolkit enabling ACR AI-LAB and giving ACR members and radiology professionals the ability to develop and deploy AI; the benefits and impact of the collaboration between NVIDIA and the ACR, including the use of AI; ACR integrating the NVIDIA Clara AI toolkit into ACR AI-LAB, its availability and its ability to protect patient data; the benefits, performance and abilities of NVIDIA Clara and ACR AI-LAB; making ACR AI-LAB a reality requiring the collaboration of the entire ecosystem; the collaboration enabling the launch of ACR AI-LAB and giving radiologists an opportunity to become involved in AI development; NVIDIA’s platform democratizing the use of AI; the NVIDIA Clara platform giving radiologists the opportunity to develop customized AI tools; the collaboration with ACR being one of many that will make AI more accessible to the entire field of radiology; the benefits and impact of being able to refine AI algorithms and use the software without sharing patient data; the benefits of bringing the AI model to patient data; the software enabling radiologists to build and improve AI algorithms without the need to share data; the benefits of training AI models on data from diverse sites, including improved inference across broader populations; enabling a network of artificial intelligence between hospitals creating more robust algorithms, greater efficiencies and likely leading to better patient outcomes, and it giving access to high-quality algorithms that will accelerate deep learning and machine learning in healthcare; and what the architecture enables and its contribution to the democratization of AI; the benefits of the AI-LAB and NVIDIA’s Clara platform for GE Healthcare and it enabling the fastest path to the use of these products in its devices and applications; NVIDIA Clara and Nuance AI Marketplace empowering the deployment of AI algorithms and Nuance products providing access to imaging AI algorithms and their integration into use; and the availability of ACR AI-LAB 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.
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