Medical Imaging
Free
Whether running models in the browser, on-premises, or in the cloud, md.ai ensures a seamless and efficient workflow for medical imaging researchers, healthcare AI developers, and clinical data scientists. The platform's robust capabilities make it an essential tool for advancing medical AI algorithms and improving patient care.
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DICOM support
Web-based annotation tools
Creation of bounding box or freeform annotations
API, Jupyter integration, and client libraries
Model development, training, validation, and deployment facilitation
Efficiently annotate and label medical imaging datasets with md.ai's web-based tools, supporting DICOM format for accurate and detailed annotations, enhancing the training process for medical image analysis models.
Collaborate seamlessly with multidisciplinary teams including doctors, data scientists, and engineers using md.ai's API and Jupyter integration, enabling real-time model development, training, and validation to create advanced medical AI algorithms.
Empower healthcare professionals to deploy and run medical AI models with ease, whether in-browser, on-premises, or in the cloud, ensuring accessibility and efficiency in implementing cutting-edge algorithms for improved patient care.
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