Insights and Resources

New study explores who the winner is when comparing human-authored, custom AI-generated and generic AI-generated impressions.

New peer-reviewed research published in npj Digital Medicine demonstrated that domain-specific AI models better met radiologist expectations than general-purpose LLMs when generating impressions.

A practical framework for assessing this reporting platform transition from a multidisciplinary panel of clinical, operational, technical and implementation experts providing

This brief provides a clinical and operational assessment of key considerations for reporting platform transitions, along with a Clinical Evaluation Checklist designed to help leadership teams make informed, forward-looking decisions.

Beeps. Missing dictation. Instability. If these feel familiar, it's a sign your reporting system is stuck in the past.

Lori Smith, AVP of Medical Imaging Service Line at Guthrie Clinic, shares her experience working with Rad AI during implementation.

Nicholas Galante, MD, CMIO at Radiology Associates of North Texas, shares how Rad AI Reporting changes the way radiologists think about reporting.

Lori Smith, AVP of Medical Imaging Service Line at Guthrie Clinic, shares how a routine contract renewal turned into a much bigger decision.

Nicholas Galante, MD, CMIO at RANT, shares how Rad AI Reporting helps radiologists achieve a true flow state by automating the repetitive parts of reporting and reducing cognitive load.

Rory Satterfield, MD, CFO and Clinical Director of Informatics from Casper Medical Imaging shares how Rad AI Reporting integrated seamlessly into their existing workflow from day one, using their current equipment and templates.

Scott Bundy, MD, CEO of Strategic Radiology, shares how Rad AI Reporting has transformed their workflow by generating complete reports in each radiologist’s own language, simply by dictating the pertinent findings.

Melissa A. Davis, MD, MBA, Vice Chair of Medical Informatics at Yale University, discusses how Rad AI Impressions is helping radiologists streamline reporting — especially for complex cases.

Legacy reporting systems often create a workflow efficiency burden on radiologists. Here's how a modern reporting solution helps eliminate that friction.

Key questions organizations should be asking about workflow, infrastructure ownership and whether their reporting platform is built for the future of radiology.

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.