Grand Challenge at RSNA 2022
Published 23 Nov. 2022
Radboudumc aims to bridge the gap between clinic and research departments around the world. At RSNA we will showcase Grand Challenge Connect (GCC) on Amazon Web Services (AWS), which builds on Amazon HealthLake Imaging to deliver Medical AI capabilities and enables Researchers and Clinicians to closely collaborate on the development of machine learning solutions.
Radboudumc will share the current state of development of GCC on AWS in form of a hands-on demo at RSNA in the AWS Booth (6958) between 27-30 November 2022 at McCormick Place in Chicago.
Radboud University Medical Center working with Amazon Web Services as a launch partner for Amazon HealthLake Imaging¶
Using Amazon HealthLake Imaging, the Diagnostic Image Analysis Group at Radboud University Medical Center developed Grand Challenge Connect, a platform to bring researchers and clinicians closer together.
Nijmegen, November 23, 2022 – Radboud University Medical Center (Radboudumc), a leading research and medical teaching facility in the Netherlands, announced today the launch of Grand Challenge Connect (GCC) on Amazon Web Services (AWS), which leverages Amazon HealthLake Imaging, now available in preview. HealthLake Imaging is a new HIPAA-eligible capability from AWS that allows organizations to store, share, and analyze medical images in the cloud at petabyte scale with sub-second image access.
Radboudumc aims to bridge the gap between clinic and research departments around the world. Radboudumc will use HealthLake Imaging to offer fast and secure access to data previously distributed into silos, which prevents effective research collaboration.
GCC on AWS builds on HealthLake Imaging to deliver Medical AI capabilities. It enables Researchers and Clinicians to closely collaborate in "real-time" on the development of machine learning solutions. Clinicians gain early access to research algorithms, whichcan be shared by connecting to existing Research environments such as grand-challenge.org, a machine learning platform developed at Radboudumc, that accelerates innovation in the field of medical imaging by leveraging AWS Cloud solutions. Researchers gain fast and easy access to data shared by collaborators with on-the-fly de-identification. GCC on AWS establishes the required security guarantees for running algorithms securely in separated environments with access controls to a unified underlying data source hosted in HealthLake Imaging.
"At Radboud University Medical Center, our mission is to be a pioneer in shaping a more person-centered, innovative future of healthcare" says Bram van Ginneken, Chair, Diagnostic Image Analysis Group at Radboudumc."We are building a collaborative AI solution with Amazon HealthLake Imaging for clinicians and researchers to speed up innovation by putting ML algorithms into the hands of clinicians faster."
GCC on AWS is integrating Amazon HealthLake Imaging with the Open Health Imaging Foundation (OHIF)-based medical imaging viewer for client-side rendering as well as the MeVisLab framework for server-side based medical imaging viewers to achieve performance improvements for fast image loading. Clinical data no longer needs to be copied into separate storage locations, which reduces costs, while sensitive PHI data remains secured and only visible to authorized clinical users. GCC on AWS helps organizations maintain data ownership and improve their security and compliance posture while they accelerate innovation and enable global collaboration.
"We are thrilled to be working along Radboud University Medical Center and grand-challenge.org to enable person-centered, innovative future of healthcare," said Razvan Ionasec, Technical Leader for Healthcare in Europe, Middle East, and Africa for Amazon Web Services. "By leveraging Amazon HealthLake Imaging, the new version of grand-challenge.org will be able to store, share, and analyze medical images at scale, further closing the translational gap between clinical and research environments."
Radboudumc will share the current state of development of GCC on AWS in form of a hands-on demo at RSNA in the AWS Booth (6958) between 27-30 November 2022 at McCormick Place in Chicago.
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