What is md.ai?
MD.ai is an AI‑driven platform for radiology reporting and dataset annotation.
It automates template selection, key findings mapping, impression generation, and proofreading in reporting workflows, while also generating billing codes and patient‑friendly audio summaries.
The system integrates directly with HL7/DICOM interfaces to EHR, HIS, and RIS, and supports desktop, laptop, tablet, and mobile access with multi‑device sync.
MD.ai’s annotator module builds large, high‑quality labeled datasets, offers AI‑assisted annotation, and provides PHI detection with de‑identification tools.
The platform includes a 510(k)-cleared DICOM viewer, multilingual support, and contextual AI chat for clinical guidance.
Developer APIs enable seamless scaling, model deployment, and validation across clinical settings.
MD.ai supports both AI‑driven and traditional reporting modes for flexible workflow adoption.
md.ai user reviews
Would you recommend md.ai?
md.ai's key features
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Automatic template selection
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Key findings mapping
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Auto impression generation
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Multilingual real‑time translation
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Auto‑generate billing codes
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Reporting routing via HL7/DICOM
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HIPAA‑compliant LLM chat
md.ai use cases
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Automate radiology report generation from DICOM images, selecting templates and mapping key findings to create standardized, PHI‑safe impressions and billing codes in under 2 minutes
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Build a multilingual DICOM viewer that automatically de‑identifies PHI, annotates findings, and exports high‑quality datasets for AI training with minimal manual effort
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Provide patient‑centric audio summaries of radiology findings, enabling concise, multilingual explanations that integrate seamlessly into HL7 workflows
Who is it for?
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Healthcare developers
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Technology engineers
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Data scientists
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Medical researchers
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Clinical analysts
