MD.ai

What is MD.ai?

MD.ai is a comprehensive medical imaging AI platform designed to accelerate the development and deployment of AI models in radiology while significantly boosting the efficiency and productivity of radiologists. The platform offers DICOM-native data annotation tools that enable doctors and researchers to create large, high-quality labeled datasets with ease. With native DICOM support and an FDA 510(k)-cleared viewer, MD.ai ensures seamless integration into existing workflows. The platform supports AI-assisted annotation, PHI detection, and de-identification, making it ideal for building robust AI models in a secure environment.

For clinical reporting, MD.ai supercharges workflows with large language models (LLMs). Features include automatic template selection, key findings dictation mapping, impression generation, and proofreading. This AI-driven approach reduces manual effort, minimizes errors, and unlocks extra efficiency. Additionally, the platform streamlines administrative tasks with automated billing code generation and improves patient communication through patient-friendly audio messages. Multilingual support and contextual AI chat further enhance usability.

MD.ai integrates easily with EHR, HIS, and RIS systems via simple HL7/DICOM protocols, and works across desktop, laptop, tablet, or mobile devices with multi-device sync. Users can choose between AI-driven or traditional reporting modes. The platform also provides developer APIs for custom integrations and seamless scaling.

Key use cases include accelerating radiology AI research, improving clinical reporting accuracy, reducing radiologist burnout, and enhancing patient engagement. Technical highlights include robust DICOM handling, scalable cloud infrastructure, and compliance with healthcare regulations. MD.ai empowers thousands of doctors and collaborators worldwide to build and deploy AI-driven clinical workflows, ultimately improving patient outcomes and operational efficiency.

Use Cases

Key Features

DICOM native annotation AI assisted annotation PHI detection de identification FDA cleared viewer LLM powered reporting automatic template selection impression generation billing code generation multilingual support

Who is it for?

radiologists, medical researchers, hospital IT teams, radiology departments, healthcare AI developers, clinical workflow managers

Similar Tools