MD.ai
Accelerate medical imaging AI development with DICOM-native annotation tools
Target Audience
- Radiologists
- Medical AI Researchers
- Healthcare IT Developers
Hashtags
Overview
MD.ai helps healthcare professionals build better medical imaging AI through specialized reporting and annotation tools. It streamlines radiology workflows with AI-powered report generation and automates administrative tasks like billing codes. The platform also enables collaborative creation of high-quality training datasets for AI models.
Key Features
AI Reporting
Automates radiology reports with template selection & impression generation
PHI Protection
Automatic detection and de-identification of protected health information
FDA-Cleared Viewer
Medical-grade DICOM viewer approved for clinical use
Multi-Device Sync
Seamless workflow across desktop, tablet, and mobile devices
AI-Assisted Annotation
Accelerates medical image labeling for AI training datasets
Use Cases
Generate radiology reports with AI assistance
Create FDA-compliant medical image datasets
Produce patient-friendly explanation audio
Validate clinical AI model performance
Automate medical billing code generation
Pros & Cons
Pros
- Specialized DICOM-native medical imaging support
- FDA 510(k)-cleared clinical viewer
- End-to-end workflow automation for radiologists
- Built-in PHI compliance tools
Cons
- Highly specialized for medical imaging (not general AI)
- Requires integration with hospital systems (HL7/DICOM)
Frequently Asked Questions
Who should use MD.ai?
Radiologists, medical AI developers, and healthcare researchers working with medical imaging
Does it support DICOM files?
Yes, native DICOM support is a core feature
Is patient data protected?
Yes, includes PHI detection and de-identification tools
Integrations
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