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Insights Shaping Radiology

Explore insights and conversations grounded in the realities of modern radiology.

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The Rad AI Blog

The Readout explores the technologies, challenges and realities shaping where care goes next.

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Blog

What Most People Get Wrong About Radiology

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Blog

“More in the Tank”: Rethinking the Value of Radiologist Efficiency

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Blog

How AI Is Transforming Radiology Reporting

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Insights and Resources

A collection of clinical insights, real-world perspectives and educational resources.

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Insights

Rad AI Overview

Learn more about Rad AI solutions for AI-powered reporting and follow-up in this brief overview.

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Insights

Radiology Reporting Transition Resource Hub

Strategic guidance, technical insights and real-world results to help clinical, operational and IT leaders navigate the transition confidently.

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Insights

What Health System and Radiology Practice Leaders Say About Navigating the Radiology Reporting Transition

During a recent discussion, leaders from Yale New Haven Health System, Emory University School of Medicine and Radiologic Associates of Fredericksburg shared what prompted them to modernize their reporting infrastructure.

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News and Announcements

Explore the latest company news, partnerships and product announcements.

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News

Rad AI Named One of America’s Fastest-Growing Private Companies for Second Consecutive Year

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News

Yale New Haven Health Is Reimagining Radiology for the AI Era

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News

Healthcare Moves: A Monthly Summary of Hires, Exits and Layoffs

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Perspectives

Hear from the radiologists, health system leaders and care teams using Rad AI every day.

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Customer Stories

Rad AI Impressions Stories

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Customer Stories

What the General Public Needs to Know About AI and Healthcare

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Customer Stories

How Emory University Assesses AI Tools

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Webinars

Watch clinical and operational leaders discuss the real-world impact of AI.

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Webinar

The “Safe Choice” Illusion: Rethinking Risk in AI-Powered Radiology Reporting

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Webinar

In the Trenches: How Radiology Groups are Navigating the Reporting Transition

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Webinar

Navigating PowerScribe® 360 End-of-Life

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Frequently Asked Questions

Understanding Rad AI

Here are a few questions we hear most often, or browse all FAQs.

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No. Rad AI augments radiologists — it doesn’t replace them. By reducing repetitive dictation and redundant steps, and providing intelligent assistance throughout the reporting workflow, it helps radiologists work more efficiently and reduce errors.

Clinical judgment and final sign-off always remain with the radiologist. Rad AI is built to support better, faster care — not to make decisions independently.

Trust, Security and Privacy

Radiology reporting software helps radiologists create and manage medical imaging reports. Rad AI Reporting enhances this process with a personalized experience that harnesses the power of generative AI (GenAI), structured templates, advanced speech intelligence and workflow automation to improve accuracy, efficiency and consistency.

Rad AI Reporting

Rad AI learns each radiologist's language, style and reporting patterns from historical reports and live dictation to generate text that sounds like them. This includes impressions and unchanged follow-up exams where only true changes need to be dictated. It also adapts to how radiologists work — preserving their preferred templates, macros, guidelines, layouts and dictation habits — so the entire reporting experience feels personal while maintaining structure and consistency.

Rad AI Reporting

Rad AI Reporting performs real-time quality checks such as sex and age, clinical guideline recommendation insertion and structured organization to reduce clinically significant errors and increase report consistency. It understands clinical context, not just transcription.

Rad AI Reporting

Radiology-First AI

Built For How Radiology Actually Works

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