Description
Rad AI is a leading platform providing AI-driven solutions specifically designed for radiology. Founded in 2018 by Jeff Chang, MD, a practicing radiologist, Rad AI addresses the challenges faced by radiologists, such as rising imaging volumes and repetitive workflows. The platform helps radiologists generate accurate, personalized reports up to 50% faster, integrating seamlessly with existing workflows.
Read More
Rad AI offers three main products: Rad AI Reporting, Rad AI Impressions, and Rad AI Continuity. Rad AI Reporting is a cloud-native solution that reduces cognitive load and enhances reporting efficiency. It features real-time speech recognition and quality checks, ensuring accurate and consistent reports. Rad AI Impressions is the world's first generative AI impressions solution, trained on each radiologist's voice and style, integrating with existing reporting systems to provide draft impressions with clinical guidelines.
Rad AI Continuity manages follow-up care by tracking recommendations in radiology reports and coordinating communication with providers and patients. It ensures adherence to follow-up care, reduces liability, and improves clinical outcomes. The platform is secure, HIPAA compliant, and integrates with existing EHR and radiology systems using open standards like DICOM and HL7.
Rad AI is trusted by over 200 health organizations and works with 40% of US health systems. It is backed by nearly $150 million in funding and has been recognized as a top AI company by KLAS. The platform is designed to empower radiologists, reduce burnout, and improve patient care through innovative AI solutions.
- CategoryMedical & Clinical AI
- Pricing ModelContact sales
- DeploymentCloud
- PlatformsWeb
Rad AI Platform's Core Features
AI-driven radiology reporting
Generative AI impressions
Follow-up management
Real-time speech recognition
Quality checks before sign-off
Integration with existing systems
HIPAA compliance
Cloud-native architecture
Customizable templates
Automated clinical guidelines insertion
How to use Rad AI Platform?
Configure: Set up Rad AI with existing systems
Use: Generate reports and impressions
Optimize: Customize templates and guidelines
Monitor: Track follow-up care and recommendations
Rad AI Platform's Use Cases
- Radiology Reporting
- Impressions Generation
- Follow-up Management
- Workflow Integration
- Burnout Reduction
