CoSupport AI
MD.ai
VS
RadMate AI
MD.ai
MD.ai offers a comprehensive platform that combines advanced radiology reporting capabilities with powerful medical imaging annotation tools. The platform leverages Large Language Models (LLMs) to streamline clinical reporting workflows, featuring automatic template selection, key findings dictation mapping, and automated impression generation.
The solution includes a FDA 510(k)-cleared viewer with native DICOM support, enabling healthcare professionals to create high-quality labeled datasets and deploy AI-driven clinical workflows. The platform supports seamless integration with existing healthcare systems through HL7/DICOM protocols and offers multi-device synchronization capabilities.
RadMate AI
RadMate AI is a platform designed to enhance radiology reporting through advanced AI. The platform allows radiologists to dictate their findings freely, and then it automatically generates complete reports, including findings and impressions.
By automating the report generation process, RadMate AI significantly increases reporting efficiency and accuracy. Its cloud-based architecture ensures effortless updates and continuous support, while also contributing to a reduction in operational costs.
Pricing
MD.ai Pricing
MD.ai offers Contact for Pricing pricing .
RadMate AI Pricing
RadMate AI offers Contact for Pricing pricing .
Features
MD.ai
- HL7/DICOM Integration: Seamless connection with EHR/HIS/RIS systems
- Multi-device Support: Works across desktop, laptop, tablet, and mobile devices
- AI-assisted Annotation: Smart tools for efficient medical image labeling
- Automated Reporting: LLM-powered template selection and impression generation
- FDA 510(k)-cleared Viewer: Regulatory-compliant medical image viewing
- PHI Detection: Automated protection of patient health information
- Multilingual Support: Multiple language options for global usage
- Developer APIs: Integration capabilities for custom solutions
RadMate AI
- Auto-Report: Generates full radiology reports from voice dictation.
- AI Verification: Reduces inaccuracies in reports.
- Cloud-Based Architecture: Allows for effortless updates and 24/7 support.
- Personal Templates: Generates reports based on personal templates.
Use Cases
MD.ai Use Cases
- Clinical radiology reporting
- Medical image annotation
- AI model development and validation
- Healthcare workflow automation
- Medical dataset creation
- Patient communication enhancement
- Billing code automation
- Research and development in medical imaging
RadMate AI Use Cases
- Generating radiology reports from voice dictation
- Improving accuracy in radiology reporting
- Streamlining the radiology reporting workflow
- Reducing operational costs associated with report generation
MD.ai
RadMate AI
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