Azure Health Data Services
Azure Health Data Services is a suite of purpose-built technologies for protected health information (PHI) in the cloud. It's built on the global open standards Fast Healthcare Interoperability Resources (FHIR)® and Digital Imaging Communications in Medicine (DICOM). Ensure data privacy within compliance boundaries, de-identify data for secondary use, and generate insights with analytics and AI tools. Azure Health Data Services is the evolved version of Azure API for FHIR and offers additional technology and services. Existing customers can continue using the product without disruption to service or change in pricing structure. Unify healthcare data in the cloud to make PHI easier to exchange across the care continuum. Standardize diverse data streams such as clinical, imaging, device, and unstructured data using FHIR, DICOM, and MedTech services.
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OsiriX
OsiriX is a world-renowned medical image viewer, specializing in DICOM (Digital Imaging and Communications in Medicine) formats, used primarily by healthcare professionals for managing and viewing medical images. The platform supports 2D, 3D, and 4D visualization and integrates advanced post-processing tools for better diagnostic accuracy. With capabilities like volume rendering and enhanced image manipulation, OsiriX is used globally by radiologists, clinicians, and researchers. The platform is available in both free (Lite) and paid (MD) versions, with the MD version offering advanced features and certifications for clinical use, including FDA and CE approvals.
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F.A.S.T. aiCockpit
Fovia Ai's F.A.S.T. aiCockpit is an AI viewer delivering efficient navigation, visualization, and interaction with AI results from multiple vendors and algorithms, all via one consistent user experience with fewer overall clicks. It allows users to visualize and interact with all their algorithm results in one convenient interface, supplying a streamlined experience for radiologists and clinical specialists. The platform delivers physician-validated findings to AI orchestrators, PACS, and reporting systems using the latest interoperability standards. It supports multiple AI formats, including DICOM Structured Reports, DICOM Key Images, DICOM GSPS, and DICOM segmentation objects. F.A.S.T. aiCockpit features a cloud-ready framework, delivering AI-assisted radiology results anytime and anywhere, accessible from any web-enabled browser. With one simple integration, users can complete their AI offering without launching multiple viewers.
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RedBrick AI
RedBrick AI is a Collaborative & Rapid Medical Data Annotation platform. Purpose-built platform to help Healthcare AI teams build high-quality training datasets for all types of radiological imaging, including **CT, MRI, X-ray, Ultrasound, Fluoroscopy, and other standard imaging. Along with native support for medical data formats such as DICOM and NIfTI and can handle complex tasks like multi-series annotation and extensive DICOM studies.
Our platform provides the most advanced and user-friendly 2D & 3D web-based annotation tools, with a PACS-like viewer. All common annotation use cases such as instance/semantic segmentation, landmarking, classification, and ROI measurements, are supported to accelerate annotation by up to 60%.
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