Accelerate medical imaging AI development with DICOM-native annotation tools
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.
Automates radiology reports with template selection & impression generation
Automatic detection and de-identification of protected health information
Medical-grade DICOM viewer approved for clinical use
Seamless workflow across desktop, tablet, and mobile devices
Accelerates medical image labeling for AI training datasets
Radiologists, medical AI developers, and healthcare researchers working with medical imaging
Yes, native DICOM support is a core feature
Yes, includes PHI detection and de-identification tools
This tool is best for:
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MD.ai can be integrated with these apps and services:
Recent data shows that MD.ai has 4.3K monthly visits (41.2% increase from the previous month), 42.0% bounce rate, and average 1.41 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 49% of total traffic. SEO performance is shown by 5 tracked keywords, with "md ai" being the top-performing keyword with 90 monthly searches. See below for more info.
Monthly Visits
4.3K
Pages per Visit
1.41
Bounce Rate
42.0%
Average Time on Site
43s
| SEO Keyword | Volume | CPC |
|---|---|---|
| md ai | 90 | - |
| ai_docs.md | 60 | - |
| ai-powered md | 10 | - |
| mdai | 4.1K | - |
| multiplanar | 1.2K | - |
| Source | Traffic Share |
|---|---|
| Direct | 44% |
| Search | 37% |
| Social | 9% |
| Referrals | 8% |
| Paid Referrals | 2% |
| Country Name | Traffic Share |
|---|---|
 | 49% |
 | 27% |
 | 16% |
 | 5% |
 | 3% |
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