MD.ai
WebsiteAI Image Recognition
MD.ai is a medical imaging AI platform that accelerates the development and deployment of AI models in radiology, increasing efficiency and productivity for radiologists.
https://md.ai/
Product Information
Updated:Nov 12, 2024
What is MD.ai
MD.ai is a comprehensive platform designed to revolutionize the field of medical imaging through artificial intelligence. It provides tools for data annotation, model development, validation, and deployment in radiology. The platform enables doctors, researchers, and engineers to collaborate on creating large, high-quality labeled datasets and build AI-driven clinical workflows. MD.ai aims to bridge the gap between cutting-edge AI technology and practical applications in healthcare, particularly in the realm of medical imaging.
Key Features of MD.ai
MD.ai is a comprehensive platform for medical AI development, offering tools for data annotation, model development/validation, and AI-powered clinical reporting. It provides DICOM-native annotation tools, collaborative features, and integrates with existing healthcare systems to accelerate the creation of high-quality datasets and deployment of AI models in medical imaging.
AI-Powered Reporting: Supercharge clinical reporting workflows with LLMs for automatic template selection, key findings mapping, impression generation, and proofreading.
DICOM-Native Annotation: FDA 510(k)-cleared viewer with native DICOM support for efficient and accurate medical image annotation.
Collaborative Platform: Enables doctors and researchers to collaboratively create large, high-quality labeled datasets and validate AI models.
Seamless Integration: Simple HL7/DICOM integration with existing EHR/HIS/RIS systems for smooth workflow incorporation.
Multi-Device Support: Works across desktop, laptop, tablet, and mobile devices with multi-device synchronization.
Use Cases of MD.ai
Radiology Workflow Optimization: Streamline radiology reporting with AI-assisted template selection, dictation mapping, and impression generation.
Medical AI Research: Facilitate collaborative creation of large, annotated datasets for training and validating medical imaging AI models.
Clinical AI Deployment: Rapidly deploy and validate AI models in clinical workflows for improved diagnostic accuracy and efficiency.
Medical Education: Utilize the platform for training medical students and residents in AI-assisted image analysis and reporting.
Pros
Comprehensive solution for medical AI development and deployment
Collaborative features enhance team productivity
Integration with existing healthcare systems for seamless adoption
Cons
May require significant initial setup and training for optimal use
Potential reliance on cloud services could raise data privacy concerns
How to Use MD.ai
Sign up for an account: Go to md.ai and create a new account to access the platform
Create a new project: Once logged in, create a new project and select the project type (e.g. annotation, model validation, etc.)
Upload medical imaging data: Upload DICOM images or other medical imaging data to your project
Set up annotation labels: Define the labels and annotation types you want to use for your project
Annotate images: Use the web-based annotation tools to mark up and label the images
Collaborate with team: Invite collaborators to your project to work on annotations together in real-time
Export annotations: Export the annotations and labeled data in formats like JSON or DICOM SR
Train AI models: Use the exported data to train machine learning models for tasks like classification or segmentation
Deploy and validate models: Upload trained models to MD.ai to deploy and validate them on new datasets
Integrate with clinical workflows: Use MD.ai's APIs to integrate AI models and annotations into clinical reporting workflows
MD.ai FAQs
MD.ai is a medical imaging AI platform that accelerates the development and deployment of AI models in radiology. It provides tools for data annotation, model development/validation, and AI-driven clinical workflows.
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Analytics of MD.ai Website
MD.ai Traffic & Rankings
5.7K
Monthly Visits
#3586005
Global Rank
#20225
Category Rank
Traffic Trends: May 2024-Nov 2024
MD.ai User Insights
00:01:17
Avg. Visit Duration
2.17
Pages Per Visit
42.49%
User Bounce Rate
Top Regions of MD.ai
US: 72.1%
DE: 10.3%
IN: 10.06%
AU: 5.11%
TW: 1.24%
Others: 1.19%
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