What Fueled Our Growth — and What’s Next

Last month, the momentum behind AI in healthcare crossed an important milestone: Rad AI’s debut on the Inc. 5000 list, ranking #107 among the fastest-growing companies in America and #7 in AI & Data.

In this post, we’re sharing not just our story, but what we’ve seen and learned about effective AI adoption, scalable innovation, and where the field must go next.

Physician-Led Innovation as a Success Driver

At Rad AI, “made for radiologists, by radiologists” isn’t marketing spin; it’s the foundation of every product decision. For radiologists and healthcare leaders, new technology is only as valuable as its fit in real clinical life. That’s why our solutions are built with direct input from practicing radiologists. The result isn’t theory, but tangible workflow improvements clinicians can trust. As Scott Bundy, CEO at Strategic Radiology, shares:

“Since implementing Rad AI Reporting, the improvements have been remarkable. Rad AI, being radiologist-led, truly understands what it means to sit in the chair of a radiologist and has designed tools around our unique needs. The system has significantly reduced the time spent on dictation, allowing our radiologists to focus on analyzing complex cases and delivering better patient care.”

Dr. Devang Gor, Chair of Radiology at LVHN, shares what that means day-to-day for clinicians:

“What truly surprised us was how effortlessly Rad AI Impressions integrated into our existing workflow, and the ability to tailor impressions to each radiologist’s style has improved both the consistency and accuracy of our reports. Rad AI has been receptive to feedback, consistently evolving the product to serve us better, which has made a real difference in both productivity and patient care. It’s the solution that allows us to manage the exponentially increasing case volumes while maintaining quality with a limited workforce.”

And Tom Hasley, CIO at LucidHealth, underscores that when radiologists see results, adoption isn’t a hurdle, it’s a natural progression:

“As word spread among the radiologists, we moved quickly from a pilot phase to moving to an ‘all in implementation’ and the ease of doing this was impressive.”

Across all our work, our guiding principle is straightforward: start with the needs and feedback of practicing radiologists, then iterate until the solution works the way they do. This commitment to co-development and adaptability is why radiology practices and health systems nationwide are choosing Rad AI, and why those benefits extend to patients, providers, and the entire care ecosystem.

From Investment to Impact: Scaling AI in Healthcare

The speed and scale of investment in Rad AI this year signal not just our momentum, but a wider market shift.

When leading health systems like Advocate Health, Memorial Hermann Health System, Corewell Health, and Atlantic Health System move quickly to partner on AI, the signal is clear: responsible AI adoption is now a necessity to stay competitive, deliver better care, and attract and retain top talent. 

As Feby Abraham, EVP & Chief Strategy and Innovation Officer at Memorial Hermann Health System, explains:

“For us, AI is not a destination. AI is a solution that helps solve some of healthcare’s most critical pain points, and Rad AI helps solve multiple of these challenges. Better clinical outcomes through greater accuracy, improved productivity by taking hours out of our radiologists’ workday, and keeping our patients continuously engaged throughout their care journey. Rad AI has created a product suite that allows us to do all of this, enabling us to see the whole person, not just interactions.”

Andy Crowder, Chief Digital and AI Officer at Advocate Health, echoes that this shift isn’t about replacing radiologists, but empowering them and raising the bar for patients and providers alike:

“ We don't believe this [AI] to be replacing radiologists. We believe this to be improving how they do their tasks… It’s about improving the lives of the caregivers and their capabilities, and that translates into better outcomes and results.”

The speed behind Rad AI’s Series C funding also signals the urgency health systems face in attracting and retaining the best clinical talent for today and tomorrow. 

“Those health systems that don’t make those [AI] investments will not be able to attract, retain, and keep their best talent,” Crowder notes. “We believe this is one of the profound differentiators. It’ll make Advocate Health and those that adopt this destination places for employees to go to.”

Together, these partnerships and investments represent more than financial milestones, they reflect a collective commitment to redefining what’s possible, and what’s now expected, in radiology. As health systems look for ways to scale quality care in the face of mounting pressures, they’re choosing the right AI partner that works hand-in-hand with clinicians, unlocking new capacity and setting a foundation for the future. 

Where AI Is Delivering Measurable ROI Today

Across both large health systems and private practices, the challenges are universal: ever-increasing scan volumes, a shrinking workforce, and the high stakes of missed patient follow-ups. The real question is: Does your technology actually move the needle?

To answer that, it’s best to hear directly from those on the front lines. Dr. Elias Kikano, Medical Director of Imaging Informatics at Grady Health System and Assistant Professor at Emory University, describes the difference for his team:

“Knowing we have a solution that reduces the cognitive burden and speeds up reporting has made a real difference. As a large academically focused practice, this time saved from Rad AI Impressions has gone back towards teaching our residents and fellow physicians. For me and the rest of the team, it’s brought a sense of relief, making the workload more manageable and improving both our productivity and morale.”

That sense of real-world change isn’t limited to large academic centers. At Casper Medical, the gains in efficiency and report quality have been just as impactful. Chief Financial Officer Rory Satterfield shares:

“Since adopting Rad AI Reporting, we’ve experienced a dramatic improvement in both efficiency and radiologist well-being. Rad AI Reporting, and particularly the Omni Box and Omni Impression features, have significantly reduced time spent on dictation, allowing us to generate reports faster, which are more clear and concise, with appropriate recommendations. This has given us more time to focus on interpreting images, which ultimately improves patient care.”

Beyond daily workflow, the impact of Rad AI extends to patient safety and operational excellence. David Heenan, Managing Director at Cone Health, sums it up:

“Since implementing Rad AI, the changes have been remarkable. I’m proud to say that Cone Health now has a 100% effective radiology safety net. This means we can confidently ensure that no incidental findings go unnoticed or unaddressed. Financially, the impact has been profound as well. We’ve seen an additional $2 to $4 million in contribution margin, which speaks to the effectiveness and efficiency Rad AI brings to our operations.”

These outcomes – relief from the daily grind, better care for patients, and meaningful gains for organizations – are what truly matter. National recognitions like Deloitte Fast 500 or CNBC Disruptor 50 are important signals, but the real win is the difference seen by clinicians and teams every day, patient by patient and shift by shift. That’s why Rad AI builds solutions to address these challenges at the ground level.

What’s Next

For radiologists, healthcare leaders, and forward-looking organizations, the path ahead for AI isn’t about hype or headlines, it’s about who you choose to trust, and how that choice shapes patient care and your team’s experience. We asked three of our leaders to share what our recent growth, recognition, and partnerships mean for the future of radiology.

What does this recognition mean for the customers and partners we serve, and how will we continue to strengthen those relationships as demand accelerates?

Kevin Field, Chief Revenue Officer at Rad AI:

“I think this recognition translates to confidence, collaboration, and conviction.

Our customers should have confidence that we’re the long-term partner of the future, that we’re investing in innovation, and that we’ll keep building the tools radiologists and health systems need and love. Every new milestone gives us more resources to reinvest back into making their jobs easier, faster, and more impactful for patients.

Recognition like this puts a spotlight on the category and accelerates collaboration. While it certainly creates some fuel for the long drive ahead, the real recognition comes from the radiologists who tell us our AI took hours off their day, or the health system leaders who see downstream care improve. We have deep conviction that this is the only scorecard that matters.”

What does this growth milestone signal about Rad AI’s ability to scale responsibly in healthcare, and how will leadership ensure we stay true to our physician-led mission?

Demetri Giannikopoulos, Chief Growth Officer at Rad AI: 

“Being named to the Inc. 5000 list is more than a recognition of rapid growth, it’s a validation of our mission to scale responsibly in one of healthcare’s most critical specialties. Radiology has always been the proving ground for breakthrough technologies, and history shows radiologists are not only early adopters but also discerning evaluators of what truly delivers value. This is why the CDC, in its Core Elements of Hospital Diagnostic Excellence (DxEx), and the joint statement from RSNA, ACR, and international radiology societies all highlight radiology’s central role in advancing diagnostic quality.

At Rad AI, we take that responsibility seriously. Our growth has been fueled not by hype, but by millions of real-world interactions with radiologists, generating evidence, outcomes, and trust. That repetition: listening, iterating, and proving value, is what makes scaling responsibly possible. It’s also what ensures we stay anchored to our physician-led mission: to partner closely with the very clinicians who understand both the promise and the pitfalls of new technologies.

In other words, growth doesn’t pull us away from our mission; it reinforces it. Every milestone expands our capacity to deliver tools that help radiologists practice at the top of their expertise, improve patient care, and shape the future of healthcare innovation in a way only radiology can.

From your perspective, what makes Rad AI’s approach to AI in radiology different, and why is that difference critical for scaling responsibly in healthcare?

Doktor Gurson, Chief Executive Officer at Rad AI:

“From the very beginning, Rad AI has been built by radiologists, for radiologists. Our approach is unique because we focus first and foremost on the radiologist’s workflow—streamlining the redundant, clerical tasks that add friction and pull attention away from patients. 

By designing solutions with radiologists at the center, we not only preserve but elevate the quality of care.

This difference is critical for scaling responsibly in healthcare. AI in radiology isn’t just about efficiency—it’s about ensuring accuracy, reducing error, and supporting the human experts who make life-saving decisions every day. When the technology is built with the radiologist’s perspective embedded into its core, you can drive adoption, improve outcomes, and scale in a way that enhances both physician experience and patient care.”