Other important players with AI healthcare-related offerings expected at RSNA this year are Samsung Medison, Philips Healthcare, Agfa HealthCare, and Nvidia.
, the medical imaging division of Samsung Electronics, uses an Intel Core i3 processor, the Intel Distribution of OpenVINO toolkit, and the OpenCV toolkit for the company’s BiometryAssist product that automates fetal measurements, Samsung Medison has also developed LaborAssist, which automatically estimates the fetal angle of progression during labor for a comprehensive understanding of a patient’s birthing progress, without the need for invasive exams.
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Meanwhile, Philips Healthcare
provides its HealthSuite Insights and Insights Marketplace to support the adoption of analytics and AI in key healthcare domains. For its part, Agfa HealthCare
integrates an ecosystem of embedded algorithms into its Enterprise Imaging platform.
, the new giant in healthcare, will be highlighting the Clara Imaging platform, an application framework and partner ecosystem that brings together AI and smart sensors to improve patient care in healthcare facilities.
According to Nvidia, a goal of Clara Imaging is to increase AI adoption in healthcare by enabling tools that make data annotation, training, and deployment seamless for medical imaging applications. For instance, the Clara Train application framework facilitates the development of medical imaging applications with APIs that can add AI-assisted annotation to any medical viewer and a set of domain-specialized pre-trained models.
Nvidia recently announced it would acquire venerable UK chip designer Arm from Japan’s SoftBank Group for $40 billion. By combining Nvidia’s substantive knowhow in AI with Arm’s extensive ecosystem, Nvidia hopes to bring the power of AI and high-performance computing to practically every smart or IoT-connected entity in the world. The focus today on healthcare by Nvidia is understandable. “The world is confronting COVID-19, one of the greatest challenges in human history,” said Nvidia CEO Jensen Huang in remarks during the company’s annual meeting of stockholders.
To that end, Nvidia’s newest AI supercomputer, Cambridge-1, and Nvidia-accelerated computing are being deployed in the scientific community to help sequence and image the novel coronavirus causing COVID-19, to search for a vaccine or treatment, and to build robots to disinfect hospitals.
About the author: Shane Walker is a healthcare industry analyst and subject matter expert with a wide range of system level and component level technology coverage including investigative, diagnostic, and therapeutic equipment and software for clinical, ambulatory, and laboratory environments. Prior to founding Village Intelligence Corp. (www.villageintelligence.com), Mr. Walker served as a lead consultant for healthcare projects at IHS Markit and continues to serve on the board of the American Aerospace Technical Academy where he has provided research on the NDT industry. He can be reached at firstname.lastname@example.org.
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