Tag: medical imaging

Access Partnership recently conducted a study commissioned by Amazon Web Services (AWS) on artificial intelligence (AI) skills across various industries globally. The results underscored the need to address low rates of AI fluency among healthcare leaders and employees, and this blog post provides a summary and analysis of the study’s key findings.

Learn how the National Cancer Institute Imaging Data Commons (IDC) team migrated the Imaging Data Commons data to AWS using AWS DataSync. Plus, learn how to get started with IDC data, which is accessible at no cost through the AWS Open Data Sponsorship Program.

Icometrix is a healthcare technology company that supports neurologists in making the correct diagnosis and prognosis for several brain diseases. Hundreds of clinical practices employ icometrix’s artificial intelligence (AI) imaging solutions, powered by Amazon Web Services (AWS), to aid in detecting and treating diseases such as multiple sclerosis and Alzheimer’s.

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.

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.

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%.

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.