md.ai

About md.ai

MD.ai is a comprehensive AI platform designed to accelerate the development, deployment, and utilization of medical imaging AI solutions.

It provides DICOM-native data annotation tools with seamless support for various devices and multi-device synchronization, enabling healthcare professionals to create high-quality labeled datasets easily.

The platform includes an FDA 510(k)-cleared viewer, AI-assisted annotation, and robust developer APIs, facilitating scalable model training, validation, and deployment.

Additionally, MD.ai offers AI-powered reporting tools that leverage large language models (LLMs) to automate and optimize clinical reporting workflows, including template selection, dictation mapping, impression generation, and administrative tasks like billing.

Its HL7/DICOM integration ensures smooth connectivity with existing EHR, HIS, and RIS systems.

Multilingual support, contextual AI chat, and mobile compatibility make it versatile for diverse clinical environments.

Thousands of clinicians and developers use MD.ai to improve diagnostic accuracy, operational efficiency, and patient communication through intelligent automation and high-quality datasets..

Smart Features

• Native DICOM support with seamless scaling for large datasets
• AI-assisted annotation with PHI detection and De-identification
• FDA 510(k)-cleared viewer for compliance and safety
• Automated clinical reporting leveraging large language models
• HL7/DICOM integration with existing health systems
• Multi-device and multi-platform compatibility (desktop, mobile, tablet)
• Multilingual support and contextual AI chat for enhanced usability
• Developer APIs for custom integrations and workflow automation
• Resources including tutorials, documentation, and community forums

Use Cases & Applications

• Creating high-quality labeled datasets for medical imaging AI models
• Developing and validating radiology AI algorithms
• Automating clinical reporting and documentation processes
• Streamlining administrative tasks such as billing and patient communication
• Integrating AI workflows into existing healthcare IT systems
• Enhancing diagnostic accuracy and operational efficiency in radiology departments

Who is it for?

• Radiologists and medical imaging professionals
• AI developers and data scientists specializing in healthcare
• Healthcare IT teams integrating AI solutions into clinical workflows
• Medical researchers focusing on AI model validation and deployment
• Hospital administrators seeking to improve operational efficiency

Business Opportunities in md.ai

Leverage MD.ai’s platform to offer specialized medical imaging annotation, AI model training, and reporting services to healthcare providers.

By developing expertise in medical data labeling and AI deployment, you can create a niche business providing tailored solutions that improve diagnostic workflows, reduce manual effort, and enhance patient care.

Training staff or consulting for clinics and hospitals on integrating AI workflows can generate recurring revenue streams, making it a profitable side hustle in the expanding healthcare AI market..