MD.ai

MD.ai — AI-powered reporting and annotation for radiology

MD.ai is a radiology-focused platform that accelerates medical imaging AI development and deployment through DICOM-native data annotation tools, automated reporting workflows, and seamless integration with existing clinical systems. It supports multi-device access (desktop, laptop, tablet, or mobile) and multilingual capabilities, enabling radiologists and developers to efficiently create, validate, and deploy AI-driven clinical workflows.

Key capabilities

• DICOM-native annotation and labeling for radiology datasets
• AI-assisted reporting: automatic template selection, dictation mapping for key findings, impression generation, and proofreading
• Automated administrative tasks: billing code generation
• Patient communication tools: patient-friendly audio messages
• Native DICOM viewer with FDA 510(k) clearance and PHI protection features
• Multiplatform access with multi-device sync
• HL7/DICOM integration with EHR/HIS/RIS systems
• Contextual AI chat and multilingual support
• Developer-focused APIs for customization and integration

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How it works

1. Upload and manage DICOM datasets for annotation and labeling.
2. Use AI-assisted annotation to accelerate dataset creation (PHI de-identification options available).
3. Generate structured radiology reports using AI-powered templates, with dictation mapping to key findings and impressions.
4. Leverage automated proofreading and consistency checks to improve report quality.
5. Integrate with hospital information systems (EHR/HIS/RIS) via simple HL7/DICOM connections.
6. Apply patient-facing communications when appropriate to improve patient understanding.
7. Deploy AI models on labeled data or in production workflows to operationalize clinical insights.

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Use cases

• Radiology reporting automation and efficiency gains
• High-quality dataset curation for AI model development
• Validation and deployment of AI models in clinical workflows
• PHI detection and de-identification for compliant data sharing
• Multilingual radiology reporting and clinician communication

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Safety, Privacy & Compliance

• Native DICOM support with PHI detection and de-identification options
• FDA 510(k)-cleared viewer for compliant clinical use
• Privacy Policy and Terms of Service governing data handling
• Secure data access across devices with synchronized workflows

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How to get started

• Request a demo to explore MD.ai Reporting and Annotator capabilities
• Use developer APIs to tailor data annotation and AI workflows to your institution
• Access tutorials, documentation, and community resources to accelerate adoption

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Core Features

• DICOM-native data annotation and labeling
• AI-assisted reporting with automatic template selection and dictation mapping
• Impression generation and proofreading within reports
• Automated billing code generation
• Patient-friendly audio messages for improved communication
• Native DICOM viewer with FDA 510(k) clearance
• PHI detection and de-identification tools
• Simple HL7/DICOM integration with EHR/HIS/RIS
• Multi-device sync (desktop, laptop, tablet, mobile)
• Multilingual support and contextual AI chat
• Developer APIs for customization and integration