Data as of Sep 14, 2026 · Based on 3,293,187 AI responses across 10,525 prompts · See how Parse measures this
collaborativefda 510(k)-clearedhipaa compliantspecializedfda-clearedhighly favoredhipaa-compliantboard-certified
MD.aimd.aiMD.ai provides AI-powered reporting and annotation tools for radiology, featuring DICOM-native data annotation to accelerate the development and deployment of medical imaging AI and improve reporting workflows. The platform automates tasks including template selection, key findings dictation mapping, impression generation, proofreading, and automated billing-code generation, with HL7/DICOM integration and multilingual, multi-device support. The Annotator product enables building high-quality datasets and models with native DICOM support, an FDA-cleared viewer, AI-assisted annotation, PHI detection and de-identification, and developer APIs for scalable AI-driven clinical workflows.
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Excerpts where MD.ai appeared in the AI's answer
MD.ai — strongest if radiologists are the primary users and you want a PACS-like experience.
MD.ai — I'd favor this if the annotators are primarily radiologists and you want the workflow to feel more like a radiology reading environment.
