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Select Testimonials
Trusted by Leading Health Systems and Radiology Practices
Rad AI delivered on its promises and exceeded our expectations.
Devang Gor, MD, MBA
Chair of Radiology, Lehigh Valley Health Network
Moving to Rad AI was 100% the right move for ARA Health, and it's advancing the way that our physicians practice medicine.
Joe Guiffrida
Chief Operations Officer, ARA Health Specialists
Our physicians prefer working at hospitals that use Rad AI. It’s improved efficiency, quality and satisfaction across the board.
Marc Miller, MD
President, Radiology Associates of the Fox Valley
From start to finish, the needs and challenges of radiologists are front and center, which has made the integration even more impactful.
Sarah Russell
Chief Executive Officer, Inland Imaging
Rad AI, being radiologist led, only understands what it means to sit in the chair of a radiologist and has designed tools around our unique needs.
Scott Bundy, MD, FACR
CEO, Strategic Radiology
Since adopting Rad AI Reporting, we’ve experienced a dramatic improvement in both efficiency and radiologist well-being.
Rory Satterfield, MD
CFO, Clinical Director of Informants, Casper Medical Imaging
We knew Rad AI was the right option for us, as we'd already started implementing the Impressions product, and we were really happy with the services we'd already received.
Lori Smith
Vice President, Radiology Service Line, Guthrie
why rad ai
Proof, Not Promises
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Built in the Reading Room
Rad AI was co-founded in 2018 by Jeff Chang, MD, a practicing radiologist who experienced the impact of rising volumes, constant interruptions and repetitive workflows firsthand. So, he built a better way.
Today, Rad AI helps thousands of radiologists generate accurate, personalized reports up to 50% faster within the workflow they already use, continuously refined in partnership with radiologists.
A Frictionless, Connected Workflow
The Images Demand Your Expertise. The Workflow Shouldn’t.
Nearly 70% of hospital patients require imaging and most clinical decisions depend on it. As volumes and complexity rise, radiologists are expected to move faster without sacrificing accuracy.
Focused Exclusively on Radiology
Your Solution for Reporting, Impressions and Follow-Up
Rad AI Continuity
AI-powered follow-up management, so every recommendation is tracked, communicated and completed.
- Monitors 50+ categories of actionable incidental findings
- Automatically coordinates outreach to providers and patients —without adding work for radiologists
- Improves adherence, reduces liability and drives measurable clinical and financial impact
our foundations
Credibility,
Earned in Practice
Rad AI is purpose-built for one specialty, refined across seven model generations and trained on nearly a billion radiology reports. While other AI companies treat radiology as one department among many, it's the only thing we do.
Stable
Backed by nearly $150M in funding and a team of 200+ employees.
Vetted
RSNA Ventures’ first industry partner and a Top 5 most-considered AI company by KLAS.
Secure
SOC 2 Type II and HIPAA compliant with human-in-the-loop QA since 2019.
Radiology-first AI
Built for How Radiology Actually Works
Built for Radiology. By Radiologists.
