AWS Public Sector Blog
Tag: medical imaging
Large scale AI in digital pathology without the heavy lifting
Pathology is currently undergoing a transformation. While microscopes still dominate many workflows, digital pathology combined with artificial intelligence (AI) is disrupting the space. AI tools can complement expert assessment with quantitative measurements to enable data-driven medicine. Ultivue is a healthcare technology (HealthTech) company that provides high-quality multiplex immunofluorescence assays and large-scale, AI-based computational pathology—built on AWS.
How Digithurst and Telepaxx built a secure and scalable radiology solution chain using AWS
Medical software development companies Digithurst and Telepaxx worked together to create an end-to-end cloud solution chain handling administration of patient data and their radiological scans; viewing and editing of scans; as well as long-term archiving. To develop a scalable, secure, and cost effective solution chain supporting further innovations, the companies turned to the AWS Cloud.
How KHUH built a long-term storage solution for medical image data with AWS
King Hamad University Hospital (KHUH) and Bahrain Oncology Center is a 600-bed-hospital in Bahrain. Over the years, KHUH faced constraints with exponential growth of their on-premise storage needs, particularly with the medical images stored by their picture archiving and communication system (PACS). KHUH turned to AWS to develop a cost- and time-effective long-term storage solution, without making changes to their existing PACS, that reduced storage costs by 40%.
Solving medical mysteries in the AWS Cloud: Medical data-sharing innovation through the Undiagnosed Diseases Network
It takes a medical village to discover and diagnose rare diseases. The National Institutes of Health’s Undiagnosed Diseases Network (UDN) is made up of a coordinating center, 12 clinical sites, a model organism screening center, a metabolomics core, a sequencing core, and a biorepository. For many years prior to the UDN, the experts at these sites were limited by antiquated data-sharing procedures. The UDN leadership realized that if they wanted to scale up and serve as many patients as possible, they needed to transform how they process, store, and share medical data—which led the UDN to the AWS Cloud.