MD.ai - Transforming medical imaging with AI-driven solutions
UpdatedAt 2025-02-23
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MD.ai accelerates the development and deployment of medical imaging AI with powerful DICOM-native data annotation tools. Our platform streamlines clinical reporting workflows by integrating AI-driven functionalities, enhancing productivity through automatic template selection, key findings dictation mapping, and impression generation. With seamless HL7/DICOM integration and support for multiple devices, MD.ai is designed for efficiency in any clinical environment. Additionally, our annotator tool empowers healthcare professionals to build high-quality datasets, deploy models effectively, and ensure compliance with PHI requirements. We are FDA 510(k)-cleared, ensuring safety and efficacy in all our solutions.
Unlock the future of medical imaging with MD.ai's AI-driven annotation and reporting solutions.
MD.ai operates on a combination of advanced AI technologies and user-friendly interfaces to facilitate the annotation of medical imaging data. Our DICOM-native tools ensure that healthcare professionals can easily label datasets, which are crucial for training AI models. The platform uses machine learning algorithms to assist in the annotation process, ensuring high accuracy and efficiency. Features like PHI detection and De-ID capabilities offer peace of mind for compliance with privacy regulations. Furthermore, our seamless integration with existing systems like EHR and RIS allows for a smooth workflow transition, making it easier for healthcare providers to adopt AI solutions. The AI-driven reporting features enhance the clinical reporting process by automating mundane tasks, allowing practitioners to focus on what matters most: patient care.
To use MD.ai, start by signing up for an account. Once registered, you can access the dashboard where you can upload your DICOM files. After uploading, utilize the annotation tools to label your data accurately. For reporting, select the automatic template options and use dictation features to streamline the reporting process. Remember to leverage the AI-assisted features for maximum efficiency.
MD.ai is a revolutionary platform that transforms medical imaging workflows through advanced AI-driven solutions, ensuring high-quality data annotation and seamless integration with existing systems.
Features
DICOM-native data annotation
MD.ai provides powerful tools for annotating DICOM data, ensuring high-quality datasets for AI modeling.
AI-assisted reporting workflows
Streamline clinical reporting with AI functionalities such as automatic template selection and dictation mapping.
Seamless integration capabilities
Integrates effortlessly with existing EHR/HIS/RIS systems via HL7/DICOM protocols.
Multi-device accessibility
Access MD.ai on any device - desktop, laptop, tablet, or mobile for ultimate convenience.
FDA 510(k)-cleared viewer
Utilize a viewer that meets FDA regulations, ensuring safe and effective use in clinical settings.
Multilingual support
Supports multiple languages to accommodate a diverse range of users.
Use Cases
Clinical Reporting
Radiologists
Clinical Administrators
Enhance reporting workflows in radiology departments by utilizing AI for template selection and dictation mapping, improving efficiency.
Data Annotation
Data Scientists
Healthcare Professionals
Use MD.ai's annotation tools to create high-quality datasets for training AI models in medical imaging, ensuring compliance with PHI.
Patient Communication
Healthcare Providers
Patient Educators
Improve communication with patients by generating audio messages that explain complex imaging results in an understandable manner.
Research and Development
Researchers
AI Developers
Leverage MD.ai for developing new AI models in medical imaging, facilitating collaboration among researchers and clinicians.
Administrative Tasks
Clinical Administrators
Billing Specialists
Automate administrative tasks such as billing code generation to save time and reduce errors in clinical workflows.
Multi-device Access
Healthcare Professionals
IT Administrators
Utilize MD.ai from various devices to ensure accessibility in different clinical settings, enhancing workflow flexibility.