George Shih
CEO/Co-Founder
MA
MD.ai
MD.ai develops a medical AI platform that utilizes machine learning and DICOM-native data annotation tools to enhance the efficiency of medical imaging workflows. The platform enables healthcare professionals to create high-quality labeled datasets, streamline clinical reporting, and improve patient communication, ultimately enhancing patient care outcomes.
- Artificial Intelligence
- Healthcare Technology
- Medical Devices
- Software Only
Updated 14 days ago
Funding
Raised to date
$4MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Leon Chen
CEO/Co-Founder
Product
Problem
Medical imaging workflows often suffer from inefficiencies in data annotation and clinical reporting, hindering the development and deployment of AI solutions. The manual creation of labeled datasets is time-consuming and resource-intensive, while traditional reporting methods lack the speed and precision needed for modern radiology practices.
Solution
MD.ai offers a platform designed to streamline medical imaging AI development and clinical reporting. The platform provides DICOM-native data annotation tools, enabling healthcare professionals to create high-quality labeled datasets for training AI models. For clinical reporting, MD.ai leverages large language models (LLMs) to automate template selection, map key findings from dictation, generate impressions, and proofread reports. The platform also automates billing code generation and improves patient communication through patient-friendly audio messages. By integrating seamlessly with EHR/HIS/RIS systems via HL7/DICOM, MD.ai enhances efficiency and productivity in medical imaging workflows.
Target Audience
The primary target audience includes radiologists, healthcare professionals, and medical AI developers seeking to improve the efficiency of medical imaging workflows and accelerate the development of AI-driven clinical solutions.
Features
- DICOM-native data annotation tools for creating labeled datasets
- AI-assisted annotation to accelerate the labeling process
- FDA 510(k)-cleared viewer for medical image analysis
- AI-powered reporting with LLMs for automated report generation
- Automatic template selection and key findings dictation mapping
- Automated billing code generation to streamline administrative tasks
- Patient-friendly audio messages for improved communication
- Simple HL7/DICOM integration with EHR/HIS/RIS systems
- Multi-device support (desktop, laptop, tablet, mobile) with multi-device sync
- PHI detection and de-identification capabilities
- Developer APIs for custom integrations