Rad AI

Rad AI is an AI-powered platform that automates report generation, impressions, and follow-up workflows to improve efficiency, accuracy, and reduce radiologist burnout.

4.7
Updated 01/14/2026
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What is Rad AI?

  • Founders: Founded by professionals in healthcare, radiology, and artificial intelligence to help prevent burnout and improve productivity for radiologists.
  • Launch: It is touted as one of the fastest-growing healthcare AI companies in the US.

Use Cases:

  • Generate impressions for radiology reports autonomously
  • Help draft reports with fewer manual edits
  • Track the follow-up of incidental findings more efficiently
  • Assist in improving diagnostic accuracy and workflow efficiency.

Technology:

  • Employs cutting-edge generative AI for radiology language generation
  • Integration with PACS, RIS, and voice dictation applications.
  • Zero-click automation with HIPAA compliant security
  • Built on a scalable, secure, cloud-based platform.

Rad AI is an AI-powered health platform that is automating radiology workflows and processing data intelligently. Made for radiologists and imaging centers, Rad AI uses the latest generative AI to generate accurate impressions, a complete report, and follow up with the patient with little additional work. Rad AI quickly integrates with existing radiology infrastructure so radiologists can spend less time on administrative tasks and more time on diagnosis and the patient experience. Rad AI eliminates time-consuming corrections to reports, adds value to report standardization, and constantly works to become more efficient operationally in imaging departments. It is compliant, secure, and continuously evolving. Rad AI is a next-generation resource that drives innovation in the healthcare and radiology ecosystem.

Key Features

Rad AI key features are

  • Zero-click automation for autonomous impression generation
  • AI-assisted report drafting to save time and ensure consistency
  • A follow-up management system to track and close patient care loops
  • Workflow integration with radiology tools and systems already incorporated.
  • Efficiency optimization, reducing report turnaround time by a considerable amount originally reserved for drafting reports.
  • Adaptation to create personalized writing styles for radiologists.
  • Avoid burnout by obtaining a degree of automation on repetitive tasks.
  • Data security compliance, including SOC 2 and HIPAA

Pricing

  • Custom enterprise pricing
  • Usage-based plans
  • Quote on request
  • Scales by volume

Disclaimer: For the latest and most accurate pricing information, please visit the official Rad AI website.

Who is using it?

A wide range of users and organizations are using Rad AI

  • Hospital radiology teams
  • Independent radiologists
  • Imaging centers
  • Healthcare networks
  • Clinical IT leaders

Alternatives

Some Rad AI alternatives are

  • Aidoc
  • Zebra Medical Vision
  • Qure.ai
  • Arterys
  • Watson Health Imaging

Conclusion

Rad AI is an innovative solution in the medical imaging field that allows radiologists to leverage automation, simplifying reporting while ensuring no follow-up on patients is forgotten. The combination of generative AI and clinical expertise allows a different level of productivity and quality of care to occur in radiology departments. With a commitment to accuracy, regulatory and compliance, Rad AI leads the way in what is available for modern radiology. It’s not just a tool; it’s a revolutionary platform for the next generation of healthcare providers.

 

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Frequently Asked Questions

Rad AI automates the creation of radiology impressions, report drafts, and follow-up tracking, helping radiologists save time and reduce burnout.

Yes, Rad AI integrates smoothly with PACS, RIS, and dictation systems without changing existing workflows.

Absolutely. The platform meets HIPAA and SOC 2 standards, ensuring complete data protection and compliance.

Rad AI focuses primarily on automating reporting and workflow management, though it can integrate with diagnostic AI tools for detection support.

Interested users can contact the Rad AI team for a demo and receive a customized implementation and pricing plan.
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