RedBrick AI accelerates medical data annotation, enabling radiology teams to create labeled datasets quickly and accurately. It offers tools for pixel-perfect annotation, ergonomic 3D contouring, and collaborative workflows tailored to medical imaging. RedBrick AI’s customizable interface supports high-quality annotations and workflow compliance for clinical AI projects.
Features
- Fast automated segmentation and annotation tools
- Real-time collaboration across annotators
- 3D medical image viewing and contouring
- Customizable annotation workflows
- HIPAA-compliant data management
- API support for seamless integration
- Quality control workflows for accuracy
- Detailed DICOM metadata analytics
Use Cases
- Annotating medical images for AI training
- Collaborative radiology labeling workflows
- Improving annotation efficiency in healthcare
- Streamlining FDA-compliant dataset creation
- Producing high-quality datasets for clinical research
Summary
RedBrick AI is uniquely designed for radiology with features like automated segmentation and compliance-focused workflows, enhancing medical annotation speed and quality. Its collaborative interface and compliance options are optimized for clinical AI projects.
