Insights and Resources

ARA Health successfully transitioned from Microsoft PowerScribe 360 to Rad AI Reporting in February 2025, marking a significant step forward in enhancing their radiology workflow.

Clinical and industry leaders explore how trusted, in-context insights delivered in-workflow may shape the next era of radiology practice.

Three CMIOs discuss how radiology AI has shifted from diagnostic novelty to a crucial tool to enable workflow resilience.

Explore why healthcare AI initiatives fail with tips on how to make yours succeed.

Many of healthcare’s most foundational technologies began in radiology. Here are selected highlights illustrating how radiology technology has transformed patient care.

Trust in AI doesn't come from adoption alone, rather it comes from structure, clarity and accountability.

The impact captured in this infographic is a result of listening to radiologists, building with intention, and focusing on what truly matters in day-to-day practice

Radiology’s AI trust gap is real, but it is not immovable. When health systems define how AI is assessed, validated, implemented and monitored, trust goes from abstract to operational.

Download the 5-step framework every healthcare leader needs to implement AI responsibly and effectively—turning AI from pilot projects into measurable impact.

Radiology has always been at the center of transformation—from wartime sonar to AI tools reshaping clinical workflows. We rounded up 10 surprising (and sometimes forgotten) facts that show just how innovative this field has always been.

Colorado Imaging Associates' experience with Rad AI Impressions demonstrates the significant impact generative AI can have in radiology.

LucidHealth, a leading multi-state radiology group, has significantly expanded its use of Rad AI following strong results from an initial deployment with Radiology Associates of the Fox Valley (RAFV), a Wisconsin-based practice.