md.ai
AI-powered platform for radiology reporting and medical image annotation to accelerate clinical workflows.
| What is it | AI-powered platform for radiology reporting and medical image annotation to accelerate clinical workflows. |
|---|---|
| Pricing | Unknown |
| Platform | Web Application |
| API | Yes |
| Best for | clinical reporting automation, medical image annotation |
| Domain registered | 2015 |
Data updated Aug. 1, 2026
What does md.ai do?
md.ai is a specialized platform designed specifically for medical imaging professionals, particularly in radiology. It provides AI-powered tools that serve two main functions: enhancing clinical reporting workflows and facilitating medical image annotation. The platform integrates directly with hospital systems through HL7/DICOM standards, making it practical for real clinical environments rather than just research settings.
What makes md.ai stand out is its focus on the entire medical AI lifecycle. The annotation tools are DICOM-native and FDA-cleared, allowing radiologists to create high-quality labeled datasets efficiently. The reporting features leverage large language models to automate tedious tasks like template selection, finding dictation mapping, and even generating patient-friendly explanations. The platform works across devices and offers both AI-driven and traditional reporting modes to accommodate different workflow preferences.
This tool primarily benefits radiologists, medical researchers, and healthcare institutions looking to implement AI in their clinical workflows. Real-world applications include accelerating the development of diagnostic AI models by providing robust annotation tools, reducing reporting time through AI-assisted dictation and impression generation, and improving patient communication through automated educational materials. Institutions like Mayo Clinic, Stanford, and Cleveland Clinic use md.ai to bridge the gap between AI research and clinical practice.
Key features
What makes it stand outWho is md.ai for?
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