MD.ai
Overview of MD.ai
MD.ai: AI-Powered Reporting and Annotation for Radiology
What is MD.ai?
MD.ai is a medical imaging AI platform designed to accelerate the development and deployment of AI models in radiology. It aims to increase the efficiency and productivity of radiologists by providing tools for data annotation and reporting.
Key Features:
- MD.ai Reporting: Supercharges clinical reporting workflows with LLMs, enabling automatic template selection, key findings dictation mapping, impression generation, and more. It also streamlines administrative tasks with automated billing code generation.
- MD.ai Annotator: Enables the creation of high-quality labeled datasets. It supports native DICOM, AI-assisted annotation, and PHI detection and De-ID.
How to Use MD.ai:
- Reporting: Integrate MD.ai with EHR/HIS/RIS systems via HL7/DICOM. Use it on desktop, laptop, tablet, or mobile devices. Utilize AI-driven or traditional reporting modes with multilingual support and contextual AI chat.
- Annotator: Build and validate models using native DICOM support and AI-assisted annotation. Scale seamlessly and use developer APIs.
Why is MD.ai important?
MD.ai helps:
- Accelerate AI development and deployment in medical imaging.
- Improve the efficiency and productivity of radiologists.
- Enhance patient communication and education.
Where can I use MD.ai?
MD.ai is used by doctors and collaborators to create large, high-quality labeled datasets, deploy and validate models, and build AI-driven clinical workflows.
Best way to leverage MD.ai:
- Integrate with existing healthcare systems for streamlined reporting.
- Utilize AI-assisted annotation for efficient dataset creation.
- Leverage LLMs for improved clinical reporting workflows.
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