CT Read records 103,157 monthly visits with -5.8% month-over-month growth and Paid pricing. MD.ai records 6,650 monthly visits with -11.2% growth and Contact for Pricing pricing.
AI analysis that turns X-rays, CT scans, MRI and ultrasound into plain-language reports
AI-powered radiology reporting and DICOM-native medical imaging annotation
| Dimension / Metric | | |
|---|---|---|
| Official Domain | ctread.com | md.ai |
| Pricing Model | Paid | Contact for Pricing |
| Monthly Visits | 103.16K (103,157) | 6.65K (6,650) |
| MoM Traffic Delta | -6.33K (-5.8%) | -838 (-11.2%) |
| Primary Market & Share | 🇺🇸 United States (14.5%) | 🇺🇸 United States (62.5%) |
| Direct Visits / mo | 19.49K | 2.6K |
| User Rating | 3.8 | 4.4 |
| Supported Platforms | Website | Website |
AI analysis that turns X-rays, CT scans, MRI and ultrasound into plain-language reports
Interpret X-rays, CT scans, MRI, PET and ultrasound images with a single tool rather than separate services.
Upload DICOM files directly or use common formats such as JPG, JPEG and PNG.
Receive structured findings, recommendations and an easy-to-understand summary instead of raw radiology jargon.
Use the built-in online DICOM viewer, DICOM-to-JPG converter, DICOM-to-PDF converter and DICOM anonymiser at no cost.
AI-powered radiology reporting and DICOM-native medical imaging annotation
Automatic template selection, dictation-to-findings mapping, impression generation and proofreading inside a radiology reporting workflow.
Generates billing codes from the report and produces patient-friendly audio summaries for clearer communication and education.
HL7 and DICOM integration connects the reporting tool to existing clinical systems, with AI-driven or traditional reporting modes available.
Build labeled imaging datasets with native DICOM support, AI-assisted annotation, an FDA 510(k)-cleared viewer and elastic scaling.
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