Rad AI
vs
MD.ai
Rad AI
Rad AI delivers best-in-class artificial intelligence solutions designed specifically for radiologists, offering a suite of tools that streamline workflow and enhance patient care. The platform includes automated reporting, impressions generation, and follow-up management capabilities that save radiologists over 60 minutes per shift while maintaining high accuracy and quality standards.
The platform's flagship products - Rad AI Reporting, Rad AI Impressions, and Rad AI Continuity - work seamlessly to automate key aspects of radiology workflow, from report generation to managing incidental findings. With SOC 2 Type II HIPAA+ certification and state-of-the-art monitoring, the platform ensures security while delivering significant efficiency gains and reducing physician burnout.
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.
Rad AI
Pricing
MD.ai
Pricing
Rad AI
Features
- Automated Impressions: Generates customized impressions matching radiologist's language preferences
- Report Automation: Reduces dictation requirements by up to 35%
- Follow-up Management: Tracks over 50 categories of incidental findings
- Zero-click Integration: Seamlessly integrates into existing workflows
- Quality Assurance: Includes over 130 daily monitoring tests
- Time Savings: Saves 60+ minutes per shift for radiologists
- Burnout Reduction: 84% of users report reduced fatigue
- Custom Language Processing: Adapts to individual radiologist's reporting style
MD.ai
Features
- 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
Rad AI
Use cases
- Automated radiology report generation
- Management of incidental findings
- Clinical follow-up tracking
- Radiologist workflow optimization
- Quality assurance in radiology reporting
- Patient outcome improvement
- Healthcare liability reduction
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
Rad AI
FAQs
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How does Rad AI ensure patient privacy and data security?
Rad AI is SOC 2 Type II HIPAA+ certified, implements state-of-the-art monitoring with over 130 daily tests, and uses an industry-leading de-identification pipeline specialized for radiology reports.What efficiency gains can radiologists expect?
Radiologists can expect up to 35% fewer words dictated and save 60+ minutes per shift using Rad AI solutions.How many categories of incidental findings does Rad AI track?
Rad AI Continuity tracks more than 50 categories of incidental findings to ensure comprehensive patient follow-up management.
MD.ai
FAQs
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Is the viewer FDA-cleared?
Yes, MD.ai features an FDA 510(k)-cleared viewer for medical image viewing.What kind of system integration does MD.ai support?
MD.ai supports HL7/DICOM integration with Electronic Health Records (EHR), Hospital Information Systems (HIS), and Radiology Information Systems (RIS).What devices can I use MD.ai on?
MD.ai works on multiple devices including desktop, laptop, tablet, and mobile devices with multi-device synchronization capabilities.
Rad AI
Uptime Monitor
Average Uptime
100%
Average Response Time
288.5 ms
Last 30 Days
MD.ai
Uptime Monitor
Average Uptime
100%
Average Response Time
140 ms
Last 30 Days
Rad AI
MD.ai
