Insights and Resources

.png)](https://content.radai.com/hubfs/M%2BC%20Assets/Infographics/Infographics/ReportingTime_Infographic_0526.pdf) Where Does a Radiologist's Time Actually Go?
See how workflow friction accumulates across a radiologist's day and learn how modern reporting technology can help reduce reporting time, improve productivity and create a better reporting experience.

"Doctor, Keep Your Eyes on the Patient."
Learn how reducing reporting friction can help radiologists spend less time managing technology and more time focused on image interpretation and patient care.

The Hidden Cause of Radiology Errors — and How to Fix It
Every time a radiologist has to look away from the images — back to the reporting platform, then back again — that's a distraction. Ken Ford, MD, of American Radiology Associates, says it happens 20 to 30 times per report.

Rad AI Reporting vs PowerScribe: Half the Time, Zero Lag
For Ken Ford, MD, of American Radiology Associates, every toggle in PowerScribe 360 or PowerScribe One costs him two to six seconds. Multiply that across a shift, and it adds up fast.

Rad AI Reporting Keeps Up With How You Think
Some reporting systems force radiologists to interpret organ by organ — click into the liver section, report the liver, click into the gallbladder section, report the gallbladder. It segments your thinking to match the template.

My Light Bulb Moment with Rad AI
Ken Ford, MD, of American Radiology Associates, had used Rad AI's impression generator before, but the first time he tried full report generation, something clicked. He could dictate into the Omni Box with his eyes never leaving the images — no more toggling between images and template or gaze shifts per case.

Doctor, Keep Your Eyes on Your Patient
When you're reading a chest CT with a legacy reporting system, your eyes are as much on the reporting platform as they are on the images.

.png)](https://youtu.be/6bg7V7Xz_n4) Rad AI Is Very Receptive to Feedback
Pupinder Jaswal, MD, radiologist at Radiology Associates of Hartford, shares how Rad AI feels like having “my own little LLM” built directly into the radiology workflow.

It’s Creating My Own Little Large Language Model creating my own little LLM
Pupinder Jaswal, MD, radiologist at Radiology Associates of Hartford, shares how Rad AI listens to radiologists and continuously evolves through real-world feedback.

Why AI Needs Humans
Pupinder Jaswal, MD, radiologist at Radiology Associates of Hartford, discusses the evolving role of AI in radiology and how it’s here to support clinicians, not replace them.

AI in Reporting
Pupinder Jaswal, MD, radiologist at Radiology Associates of Hartford, reflects on how AI can help radiologists stay efficient without sacrificing quality.

Evolving Perspectives on AI in Radiology
Pupinder Jaswal, MD, radiologist at Radiology Associates of Hartford, shares what he’s really enthusiastic about AI in healthcare.

Why Radiologists Are Early Adopters of Technology
Pupinder Jaswal, MD, radiologist at Radiology Associates of Hartford, discusses why radiologists have often been early adopters of new healthcare technology.

Clearing Up a Common Misconception About Radiology
Pupinder Jaswal, MD, radiologist at Radiology Associates of Hartford, shares what he thinks people often misunderstand about the role of radiologists in healthcare.

Who Writes AI Impressions Best? Human Versus AI
New study explores who the winner is when comparing human-authored, custom AI-generated and generic AI-generated impressions.

Comparison of AI-Generated Radiology Impressions: A Multi-Stakeholder Evaluation
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.

Navigating the PowerScribe® 360 End-of-Life
A practical framework for assessing this reporting platform transition from a multidisciplinary panel of clinical, operational, technical and implementation experts providing.

Radiology Reporting Transitions: A Clinical and Operational Assessment
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.

Is Your Reporting System Draining Your Energy?
Beeps. Missing dictation. Instability. If these feel familiar, it's a sign your reporting system is stuck in the past.

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

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

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

Reduce Turnaround Time and Burnout with Rad AI Reporting
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.

From Legacy to Modern Reporting with Rad AI
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.

Less Dictation, Better Reports with Rad AI Reporting
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.

Rad AI Impressions and Reducing Cognitive Load
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.

Solving the 10 Silent Drivers of Burnout in Radiology
Legacy reporting systems often create a workflow efficiency burden on radiologists. Here's how a modern reporting solution helps eliminate that friction.

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

How ARA Health Specialists Improved Radiology Reporting Efficiency at Scale
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.

RSNA Ventures & Rad AI Partnership: Innovating at the Radiologist's Point of Interpretation
Clinical and industry leaders explore how trusted, in-context insights delivered in-workflow may shape the next era of radiology practice.

CMIO Principles for the Strategic Implementation of Radiology AI
Three CMIOs discuss how radiology AI has shifted from diagnostic novelty to a crucial tool to enable workflow resilience.

Bridging the AI Implementation Gap
Explore why healthcare AI initiatives fail with tips on how to make yours succeed.

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

9 Actions Health Systems Can Take to Close the AI Trust Gap
Trust in AI doesn't come from adoption alone, rather it comes from structure, clarity and accountability.

2025 Year In Review: Our Rad AI Report
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.

5 Reasons Why Radiology AI Has a Trust Problem
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.

AI Governance in Healthcare: A 5 Step Framework for Leaders
Download the 5-step framework every healthcare leader needs to implement AI responsibly and effectively—turning AI from pilot projects into measurable impact.

10 Surprising Facts About Radiology
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.

80% Fewer Words Dictated Using Rad AI Impressions: A Case Study With Colorado Imaging Associates P.C.
Colorado Imaging Associates' experience with Rad AI Impressions demonstrates the significant impact generative AI can have in radiology.

.png)](https://19834038.fs1.hubspotusercontent-na1.net/hubfs/19834038/M%2BC%20Assets/Case%20Studies/lucidhealth-rad-ai-impressions-case-study-productivity-gains.pdf) LucidHealth Scales Use of Rad AI After Seeing Double-Digit Productivity Gains
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.