Build high-quality datasets and models
Our platform has enabled thousands of doctors and their collaborators to create large high-quality labeled datasets, deploy and validate their models, and build AI-driven clinical workflows.
Native DICOM support
FDA 510(k)-cleared viewer
Seamless scaling
AI-assisted annotation
PHI detection and De-ID
Developer APIs
Features
DICOM native
Our platform is built from the ground up to support the DICOM standard. We support most DICOM imaging modalities. Datasets can be created through direct uploads, connected via cloud storage buckets, or pushed via DICOM C-STORE protocol. While DICOM is our primary format, we can also ingest non-DICOM images (JPEG, PNG, TIFF) and videos (MP4, AVI, MOV) in custom patient-centric file structures.
FDA 510(k)-cleared viewer
Our FDA 510(k)-cleared, web-based DICOM viewer enables clinical image interpretation, review, annotation, and reporting. It supports most modalities, standard zoom/pan/windowing, hanging protocols, multiplanar reconstruction, measurement tools, and more. The viewer is fully integrated with our annotation tools.
Easily scale to massive datasets
Autoscaling cloud infrastructure allows seamless scaling to millions of exams, terabytes of data, and thousands of real-time concurrent users. Our user management system provides fine-grained data access control and distributed labeling task assignments. We have helped build some of the largest public datasets in medical imaging through expert medical crowdsourcing.
Deploy models for AI-assisted annotation or federated validation
Deploy models and run distributed inference on your data. Use models for pre-annotation or AI-assisted annotation. Validate models across multiple sites in a federated manner without data sharing.
Built-in AI tools
Utilize built-in AI-powered mask segmentation tools for more efficient annotation. We also offer built-in PHI detection and pixel and metadata deidentification tools to prevent sensitive data leakage.
Flexible APIs for developers
Enable programmatic project management and control via our CLI tool and Python client library.
Demo Video
Overview of MD.ai Annotator: Key Features and Functionalities
Contact Us
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