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Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/RedBrick AI
RedBrick AI

RedBrick AI

Founded 2020

Annotate medical imagery and generate ground truth data for radiology machine learning models

You can use RedBrick AI to annotate medical images, segment radiology scans, and prepare training datasets for healthcare machine learning. It supports native formats like DICOM with 2D contouring, 3D interpolation, oblique planes, and volume rendering. You can speed up segmentation using automated region growing and machine learning tools, manage annotator teams, set up multi-step review workflows, and run custom validation checks directly in the browser. You can also connect your own cloud storage and control imports and exports using developer APIs.

What RedBrick AI does

Segment organs and anatomical structures in 3D medical scansApply thresholding and region growing to outline regions of interestInterpolate 2D contour drawings across multiple slices in 3D volumesAssign annotation jobs and track progress across medical review teamsInspect DICOM tags and filter scans by specific clinical parametersImport imaging studies directly from private cloud storage bucketsValidate annotation accuracy before submitting completed tasksBrowser-based DICOM viewer with 3D photorealistic rendering and oblique planesAutomated segmentation using Meta AI's Segment Anything Model (SAM)Ergonomic 2D contouring tools with automated 3D slice interpolationPixel-level annotation tools including region growing, thresholding, and island removalMulti-step quality control workflows with consensus reviewsClient-side validation checks to catch annotation mistakes in real timeCustomizable hanging protocols and viewing layouts for radiologistsPython SDK and CLI for programmatic data import, export, and task assignment

Frequently asked

AWS S3, Google Cloud Storage, Azure Blob Storage, Python SDK, REST API, NVIDIA MONAI

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RedBrick AI, radiology data annotation, medical image labeling, DICOM viewer, 3D segmentation, ground truth, healthcare AI, 3D contouring, Meta SAM, medical imaging, cohort creation, clinical validation, machine learning, AI data labeling, PACS viewer, oblique plane viewing